airflow Remote Jobs

103 Results

1d

Senior Data Scientist

KaratRemote (United States)
airflow ● azure ● c++ ● python ● AWS

Karat is hiring a Remote Senior Data Scientist

We're Karat, the world's largest interviewing company.

Karat helps companies hire top engineering talent with confidence. As an end-to-end hiring solution, we work with organizations to improve the quality, efficiency, and equity of their technical hiring process. Global leaders like Walmart, Atlassian, and Citi rely on Karat to conduct hundreds of assessments and interviews every day through a powerful combination of human expertise and innovative technology. Our mission is to make every interview predictive, fair and enjoyable so we can unlock opportunity -- for everyone. We’re a passionate, focused, human-centric team, and we want you to join us!

Come join our Artificial Intelligence team

Our AI team will work across product boundaries to rapidly prototype the AI products and features that will define the future of technical interviewing for Karat, create a competitive moat for our business, and allow our customers to source, hire, and retain the right talent with increased predictivity, less bias, and previously unimaginable efficiency.

What you will do

As a Senior Data Scientist on the AI team at Karat, you will drive innovation by extracting key insights from our data, and providing actionable recommendations for innovative products that can be built into the Karat platform as we scale. Collaborating with a small team of Engineers, you will innovate on top of the Company’s internal and external data, leverage cutting-edge AI technology like LLMs, carry complex analysis, build proofs-of-concept and prototypes, create insight, and build models and products that serve a variety of key end-users in the Interviewing Cloud space.

This is a Salary, Exemptposition. Immigration sponsorshipis notavailable.

  • Lead projects in close partnership with engineering teams to increase the signal captured during technical interviews, maximizing the product value provided to clients.
  • Work hands-on in coding, data preprocessing, feature engineering, model development, and exploratory data analysis.
  • Lead projects and mentor teammates working in the Data Science and AI realms across all teams and products.
  • Partner with business stakeholders to understand the Company’s business challenges, develop hypotheses, and propose data-driven solutions to those challenges.
  • Present complex findings and insights to non-technical audiences, influencing decision-makers across the organization.
  • Stay abreast of the latest advancements in Data Science, Machine Learning, and AI, and proactively identify opportunities to apply emerging technologies to Karat’s business needs.
  • Lead the dialogue within Karat about AI, Data Science and Machine Learning.

The experience you will bring

  • 5+ years of tech industry experience in Data Science, Machine Learning, AI, or other related roles
  • Strong expertise in programming languages such as Python, and proficiency in using relevant data science libraries and frameworks
  • Experience with cloud platforms (e.g., AWS, Azure, GCP), data engineering pipeline and tools such as dbt, airflow, and model deployment process
  • Proven track record leading Data Science, Machine Learning or AI projects that have delivered significant business impact
  • Exceptional problem-solving skills with the ability to translate business challenges into data-driven solutions
  • Deep understanding of statistical analysis, data manipulation, and data visualization techniques
  • Excellent communication skills, with the ability to communicate complex technical concepts to both technical and non-technical audiences
Individual base pay depends on various factors, in addition to primary work location, such as complexity and responsibility of role, job duties/requirements, and relevant experience and skills. This role may be eligible for additional rewards, including commissions, bonuses, and equity.
The base salary pay range across the United States for this role is:
$117,490.80—$173,500 USD

Statement of Inclusivity:

In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at Karat.

We value a diverse workforce: people of color, womxn, and LGBTQIA+ individuals are strongly encouraged to apply.

If you have a disability or special need that requires accommodation, please let us know at accommodation@karat.com.

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1d

Senior Data Scientist (Argentina)

KaratRemote (Argentina)
airflow ● azure ● c++ ● python ● AWS

Karat is hiring a Remote Senior Data Scientist (Argentina)

We're Karat, the world's largest interviewing company.

Karat helps companies hire top engineering talent with confidence. As an end-to-end hiring solution, we work with organizations to improve the quality, efficiency, and equity of their technical hiring process. Global leaders like Walmart, Atlassian, and Citi rely on Karat to conduct hundreds of assessments and interviews every day through a powerful combination of human expertise and innovative technology. Our mission is to make every interview predictive, fair and enjoyable so we can unlock opportunity -- for everyone. We’re a passionate, focused, human-centric team, and we want you to join us!

Come join our Artificial Intelligence team

Our AI team will work across product boundaries to rapidly prototype the AI products and features that will define the future of technical interviewing for Karat, create a competitive moat for our business, and allow our customers to source, hire, and retain the right talent with increased predictivity, less bias, and previously unimaginable efficiency.

What you will do

As a Senior Data Scientist on the AI team at Karat, you will drive innovation by extracting key insights from our data, and providing actionable recommendations for innovative products that can be built into the Karat platform as we scale. Collaborating with a small team of Engineers, you will innovate on top of the Company’s internal and external data, leverage cutting-edge AI technology like LLMs, carry complex analysis, build proofs-of-concept and prototypes, create insight, and build models and products that serve a variety of key end-users in the Interviewing Cloud space.

  • Lead projects in close partnership with engineering teams to increase the signal captured during technical interviews, maximizing the product value provided to clients.
  • Work hands-on in coding, data preprocessing, feature engineering, model development, and exploratory data analysis.
  • Lead projects and mentor teammates working in the Data Science and AI realms across all teams and products.
  • Partner with business stakeholders to understand the Company’s business challenges, develop hypotheses, and propose data-driven solutions to those challenges.
  • Present complex findings and insights to non-technical audiences, influencing decision-makers across the organization.
  • Stay abreast of the latest advancements in Data Science, Machine Learning, and AI, and proactively identify opportunities to apply emerging technologies to Karat’s business needs.
  • Lead the dialogue within Karat about AI, Data Science and Machine Learning.

The experience you will bring

  • 5+ years of tech industry experience in Data Science, Machine Learning, AI, or other related roles
  • Strong expertise in programming languages such as Python, and proficiency in using relevant data science libraries and frameworks
  • Experience with cloud platforms (e.g., AWS, Azure, GCP), data engineering pipeline and tools such as dbt, airflow, and model deployment process
  • Proven track record leading Data Science, Machine Learning or AI projects that have delivered significant business impact
  • Exceptional problem-solving skills with the ability to translate business challenges into data-driven solutions
  • Deep understanding of statistical analysis, data manipulation, and data visualization techniques
  • Excellent communication skills, with the ability to communicate complex technical concepts to both technical and non-technical audiences
  • Strong fluency in written and spoken English

Legal Employment Statement 

Karat is a U.S. company. In order to work with individuals outside of the United States, we partner with a Professional Employer Organization (PEO). If hired for this position, your legal employer will be the PEO. This means your payroll, benefits offered, time off, etc., will be offered and managed by them.

Statement of Inclusivity:

In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at Karat.

We value a diverse workforce: people of color, womxn, and LGBTQIA+ individuals are strongly encouraged to apply.

If you have a disability or special need that requires accommodation, please let us know at accommodation@karat.com.

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1d

Senior Data Scientist (Mexico)

KaratRemote (Mexico)
airflow ● azure ● c++ ● python ● AWS

Karat is hiring a Remote Senior Data Scientist (Mexico)

We're Karat, the world's largest interviewing company.

Karat helps companies hire top engineering talent with confidence. As an end-to-end hiring solution, we work with organizations to improve the quality, efficiency, and equity of their technical hiring process. Global leaders like Walmart, Atlassian, and Citi rely on Karat to conduct hundreds of assessments and interviews every day through a powerful combination of human expertise and innovative technology. Our mission is to make every interview predictive, fair and enjoyable so we can unlock opportunity -- for everyone. We’re a passionate, focused, human-centric team, and we want you to join us!

Come join our Artificial Intelligence team

Our AI team will work across product boundaries to rapidly prototype the AI products and features that will define the future of technical interviewing for Karat, create a competitive moat for our business, and allow our customers to source, hire, and retain the right talent with increased predictivity, less bias, and previously unimaginable efficiency.

What you will do

As a Senior Data Scientist on the AI team at Karat, you will drive innovation by extracting key insights from our data, and providing actionable recommendations for innovative products that can be built into the Karat platform as we scale. Collaborating with a small team of Engineers, you will innovate on top of the Company’s internal and external data, leverage cutting-edge AI technology like LLMs, carry complex analysis, build proofs-of-concept and prototypes, create insight, and build models and products that serve a variety of key end-users in the Interviewing Cloud space.

  • Lead projects in close partnership with engineering teams to increase the signal captured during technical interviews, maximizing the product value provided to clients.
  • Work hands-on in coding, data preprocessing, feature engineering, model development, and exploratory data analysis.
  • Lead projects and mentor teammates working in the Data Science and AI realms across all teams and products.
  • Partner with business stakeholders to understand the Company’s business challenges, develop hypotheses, and propose data-driven solutions to those challenges.
  • Present complex findings and insights to non-technical audiences, influencing decision-makers across the organization.
  • Stay abreast of the latest advancements in Data Science, Machine Learning, and AI, and proactively identify opportunities to apply emerging technologies to Karat’s business needs.
  • Lead the dialogue within Karat about AI, Data Science and Machine Learning.

The experience you will bring

  • 5+ years of tech industry experience in Data Science, Machine Learning, AI, or other related roles
  • Strong expertise in programming languages such as Python, and proficiency in using relevant data science libraries and frameworks
  • Experience with cloud platforms (e.g., AWS, Azure, GCP), data engineering pipeline and tools such as dbt, airflow, and model deployment process
  • Proven track record leading Data Science, Machine Learning or AI projects that have delivered significant business impact
  • Exceptional problem-solving skills with the ability to translate business challenges into data-driven solutions
  • Deep understanding of statistical analysis, data manipulation, and data visualization techniques
  • Excellent communication skills, with the ability to communicate complex technical concepts to both technical and non-technical audiences
  • Strong fluency in written and spoken English

Legal Employment Statement 

Karat is a U.S. company. In order to work with individuals outside of the United States, we partner with a Professional Employer Organization (PEO). If hired for this position, your legal employer will be the PEO. This means your payroll, benefits offered, time off, etc., will be offered and managed by them.

Statement of Inclusivity:

In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at Karat.

We value a diverse workforce: people of color, womxn, and LGBTQIA+ individuals are strongly encouraged to apply.

If you have a disability or special need that requires accommodation, please let us know at accommodation@karat.com.

See more jobs at Karat

Apply for this job

3d

Strong Middle/Senior Test Automation Engineer (AdTech)

Sigma SoftwareWarsaw, Poland, Remote
4 years of experience ● agile ● airflow ● mysql ● typescript ● jenkins ● javascript

Sigma Software is hiring a Remote Strong Middle/Senior Test Automation Engineer (AdTech)

Job Description

  • Write and execute tests to validate products and software applications 
  • Develop and maintain test execution and tracking software 
  • Assist in integrating testing into the CI/CD pipeline 
  • Collaborate with the Product team to identify product and technical requirements 
  • Collaborate with the Quality & Automation team and Software Engineers to identify, reproduce, and document bugs or defects 
  • Contribute towards architecture designs, providing feedback on testability  
  • Provide guidance and mentorship for less-experienced Test Automation Engineers 

Qualifications

  • At least 4 years of experience in test automation  
  • Strong automation coding skills in TypeScript or JavaScript 
  • At least 2 years of hands-on experience with Cypress  
  • Experience with CI/CD tools and frameworks (Jenkins, GitHub Actions, Airflow, Concourse CI) 
  • Experience in performance testing (JMeter is preferred) 
  • Good knowledge of relational databases (MySQL is preferred) 
  • Full understanding and appreciation of the test pyramid 
  • Excellent communication skills and the ability to work in an Agile team 
  • The ability to teach others how to write quality code 

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3d

Contract: Senior Analyst, Ads & Monetization

UpworkRemote-Latin America
airflow ● sql ● Design ● python

Upwork is hiring a Remote Contract: Senior Analyst, Ads & Monetization

Upwork ($UPWK) is the world’s work marketplace. We serve everyone from one-person startups to over 30% of the Fortune 100 with a powerful, trust-driven platform that enables companies and talent to work together in new ways that unlock their potential.Last year, more than $3.3 billion of work was done through Upwork by skilled professionals who are gaining more control by finding work they are passionate about and innovating their careers.This is an engagement through Upwork’s Hybrid Workforce Solutions (HWS) Team. Our Hybrid Workforce Solutions Team is a global group of professionals that support Upwork’s business. Our HWS team members are located all over the world.
 

Work/Project Scope:

The Data Science and Analytics team is looking for a senior analyst to drive insights and identify opportunities for the Ads and Monetization team. This role is critical to understanding business and user behavior trends, building efficient data pipelines, developing data visualization, and delivering reports and forecasts in the auction, ads, and market design domain. This individual will drive insights and partner cross-functionally with product management, engineering,  user research, finance, marketing, and analytics teams to compel changes in our strategy. As a critical member of the Marketplace Analytics team, you’ll use your quantitative background and expertise in manipulating large datasets to bring unparalleled insights into user behavior and site performance. Our team tackles a multitude of exciting challenges including experimentation design and management, business metric definition and monitoring, user behavior analysis, modeling and forecasting impact, building and improving data pipelines, and tracking of our business progress to enable Upwork’s growth. If you enjoy building businesses with endless possibilities, this is a great opportunity!
  • Become the authority on user behavior analysis for our Ads and Monetization team, applying data science techniques and analytical skills to unearth deep insights on the marketplace.
  • Work with engineering and product on data pipelines to ensure business impacts can be tracked efficiently in complex environments.
  • Define the metrics teams use to evaluate their success, perform analysis to understand the impact on growth and track progress toward those results.
  • Design and evaluate tests to ensure we track the causal impact from product changes on business rigorously.
  • Present in key meetings and business reviews with our product leadership.
  • Tackle complex problems inherent to a double-sided marketplace. Deliver insights that drive changes in team strategy using SQL, Python, R, and/or other scripting and statistical tools.

Must-Have Skills:

  • Strong SQL skills.
  • Proficiency in any data orchestration and scheduling job tools (such as  AirFlow, DBT, Rundeck, or Argo).
  • Experience in data modeling, data design, ETL (extract, transform, and load), or star schema is a plus.
  • Experience working as an analytics engineer is a plus.
  • Proficiency in R, Python, or other programming languages for statistical analysis is a plus.
  • Experience working with BI visualization tools (such as Looker) is a plus.
  • Experience working with two-sided marketplaces, ads, or auctions is a plus.
 
Upwork is proudly committed to fostering a diverse and inclusive workforce. We never discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical condition), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

To learn more about how Upwork processes and protects your personal information as part of the application process, please review our Global Job Applicant Privacy Notice

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4d

Data Analyst

Paramo TechnologiesBuenos Aires, AR Remote
airflow ● sql ● python

Paramo Technologies is hiring a Remote Data Analyst

We are

a cutting-edge e-commerce company developing products for our own technological platform. Our creative, smart and dedicated teams pool their knowledge and experience to find the best solutions to meet project needs, while maintaining sustainable and long-lasting results. How? By making sure that our teams thrive and develop professionally. Strong advocates of hiring top talent and letting them do what they do best, we strive to create a workplace that allows for an open, collaborative and respectful culture.

What you will be doing

As a Data Quality Analyst your primary priority is to ensure that the data used by the company is accurate, complete, and consistent. You will be ensuring that the data used by the company is of high quality, which would elevate the business decision-making, improves operational efficiency, and enhances customer satisfaction. This role also provides continuous automated and manual testing of data sets for use in internal data systems and for delivery from internal systems.

As part of your essential functions you will have to:

  • Identify data quality issues and working with other teams to resolve them.
  • Establish data quality standards and metrics: The analyst/engineer would work with stakeholders to define the quality standards that data must meet, and establish metrics to measure data quality.
  • Monitor data quality: The analyst/engineer would monitor data quality on an ongoing basis, using automated tools and manual checks to identify issues.
  • Investigate data quality issues: When data quality issues are identified, the analyst/engineer would investigate them to determine their root cause and work with other teams to resolve them.
  • Develop data quality processes: The analyst/engineer would develop processes to ensure that data is checked for quality as it is collected and processed, and that data quality issues are addressed promptly. This stage includes the use of tools and technology in order to promote efficiency in the data check activities.
  • Train stakeholders: The analyst/engineer would train other stakeholders in the company on data quality best practices, to ensure that everyone is working towards the same quality goals.
  • Promote improvements in the development process in order to ensure the integrity and availability of the data.

Some other responsibilities are:

  • Provide technical directions and mentor other engineers about data quality.
  • Perform data validity, accuracy, and integrity test across different components of the Data Platform.
  • Build automated test framework and tools to automate the Data Platform services and applications.
  • Automate regression tests and perform functional, integration, and load testing.
  • Articulate issues to developers during meetings and particularly in the daily standups.
  • Triage production-level issues by analyzing the production logs and working with the development team until the issues are resolved.
  • Proactively solve problems and suggest process improvements.
  • Provide test case coverage and defect metrics to substantiate release decisions.
  • Work with the product managers and the team leads to understand the requirements and come up with the relevant test cases and execute them.

Knowledge and skills you need to have

  • Bachelor in Computer Science or Information Systems or 3+ years’ experience with corporate data management systems in high-compliance contexts.
  • 3+ years of experience writing complex SQL on large customer data sets (complex queries).
  • High proficiency in relational or non-relational databases.
  • Knowledgeable about industry data compliance strategies and practices, such as continuous integration, regression testing, and versioning.
  • Familiarity with Big Data environments, dealing with large diverse data sets.
  • Experience with BI projects.
  • Strong scripting experience with any of the scripting languages.
  • Accountability for receiving challenges
  • Excellent communication skills, with the ability to drive & collaborate with cross teams.
  • Fluent in Spanish & English

To apply for this position, you must be based in Latin America. Applications from other locations will be rejected from this particular selection process.

Bonus points for the following

Additional requirements, not essential but "nice to have".

  • Python experience (for data analysis - Airflow)

Why choose us?

We will give you the opportunity to be the best version of yourself, develop professionally and create strong working relationships working remote or on site. While offering a competitive salary, we also invest in our people's professional development and want to see you grow and love what you do. We are dedicated to listening to our team's needs and are constantly working on creating an environment in which you can feel at home.... If this sounds like the place for you, contact us now!

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4d

Automation Specialist

NielsenIQBelgrade, Serbia, Remote
agile ● terraform ● airflow ● sql ● oracle ● azure ● git ● docker ● postgresql ● kubernetes ● linux ● jenkins ● python

NielsenIQ is hiring a Remote Automation Specialist

Job Description

As a Automation Specialist in the company’s Business Process Automation CoE Team, you will play a pivotal role in ensuring the overall health, performance, availability, and capacity of several automation tools and platforms. Your responsibilities will encompass support and proactive system improvements, incident and change management, automation, and ensuring the availability and performance of mission-critical services.

  • Ensure end-to-end availability and performance of mission-critical services.
  • Providing L2 support for users.
  • Handling of incident and change management requests.
  • Proactively seek systems improvements through performance monitoring and capacity analysis.
  • Implement and manage container architecture using tools like Docker and Kubernetes.
  • Administer and support SQL database engines such as PostgreSQL, MSSQL and Oracle.
  • Utilize Azure Cloud services including Virtual Machine, AKS, and Virtual Network.
  • Work with Linux-based infrastructure and scripting languages like Bash, Python, and PowerShell.
  • Utilize configuration management and CI/CD tools such as GIT, ELK, and Helm Charts.
  • Automate testing, code deployment, and monitoring using tools like Terraform, Jenkins, and GitLab.
  • Work closely with the development team to ensure seamless integration and deployment.
  • Ensure security and compliance of cloud assets by integrating security best practices and deploying cloud security tools.

Qualifications

  • Bachelor’s degree in computer science, Engineering, or related field.
  • 3+ years of experience as a DevOps/Systems Engineer.
  • Experience with container orchestration tools (e.g., Kubernetes, Docker).
  • Experience with SQL databases (e.g., PostgreSQL, MSSQL, Oracle).
  • Familiarity with Azure Cloud services and networking configurations.
  • Experience with Linux and Windows operating systems.
  • Strong knowledge of scripting languages such as: Bash, PowerShell and Python.
  • Experience and understanding of monitoring tools and practices (LogicMonitor, Nagios, Zabbix).
  • Experience with configuration management, CI/CD tools, and automation tools.
  • Knowledge of BPM, Workflow and Workload Automation tools like AirFlow, KissFlow, RunMyjobs, ActiveBatch.
  • Experience in Cloud Networking area and Hybrid network configurations.
  • Knowledge of RPA automation tools such as UiPath and Microsoft Power Automate.
  • You have a willingness to work as a part of a distributed and agile international team.
  • Good communication skills and fluency in English, both written and spoken.

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5d

Staff Data Scientist - Programmatic Ads Lead

SquareSan Francisco, CA, Remote
Bachelor degree ● tableau ● airflow ● sql ● Design ● python

Square is hiring a Remote Staff Data Scientist - Programmatic Ads Lead

Job Description

The Data Science team at Cash App is customer-obsessed, collaborates intensely with other key disciplines, and always makes decisions with an eye towards Cash App’s business as a whole. The goal of the DS team is to derive valuable insights from our extremely unique datasets and turn those insights into actions that improve the experience for our customers every day. 

We’re hiring a Staff Data Scientist to join the Commerce team, supporting our programmatic ads business. We have developed a robust onsite advertising business on Afterpay and now we’re looking to build the next generation of our advertising business that will connect our merchants and customers more deeply off-platform. 

We’re seeking an exceptional Data Scientist to help define the strategy for this business and lay the foundation for transformative, highly complex, “0 to 1” features. You will play a critical role in accelerating Cash App’s growth by focusing on developing a strategic thought partnership with our teams in Product and Sales, and leverage data to enable us to achieve our roadmap goals, make effective spend decisions across marketing channels and understand the impact of incentives on Cash App users. 

You will:

  • Build models to optimize our programmatic marketing efforts to ensure our spend has the best possible ROI
  • Design and analyze experiments to evaluate the impact of marketing campaigns we launch
  • Analyze large datasets using SQL and scripting languages to surface actionable insights and opportunities to the Marketing product team and other key stakeholders
  • Approach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behavior & segments
  • Build, forecast, and report on metrics that drive strategy and facilitate decision making for key business initiatives
  • Write code to effectively process, cleanse, and combine data sources in unique and useful ways, often resulting in curated ETL datasets that are easily used by the broader team
  • Build and share data visualizations and self-serve dashboards for your partners
  • Effectively communicate your work with team leads and cross-functional stakeholders on a regular basis

Qualifications

You have:

  • A bachelor degree in statistics, data science, or similar STEM field with 7+ years of experience in a relevant role OR
  • A graduate degree in statistics, data science, or similar STEM field with 5+ years of experience in a relevant role
  • Advanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc)
  • Experience with scripting and data analysis programming languages, such as Python or R
  • Worked extensively with Causal Inference techniques and off platform data
  • A knack for turning ambiguous problems into clear deliverables and actionable insights 
  • Gone deep with cohort and funnel analyses, a deep understanding statistical concepts such as selection bias, probability distributions, and conditional probabilities

Technologies we use and teach:

  • SQL, Snowflake, etc.
  • Python (Pandas, Numpy)
  • Tableau, Airflow, Looker, Mode, Prefect

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5d

Data Scientist, Analytics Consumer Products

Juul LabsRemote - United States
Bachelor's degree ● tableau ● airflow ● sql ● Design ● python

Juul Labs is hiring a Remote Data Scientist, Analytics Consumer Products

THE COMPANY:

Juul Labs’ mission is to impact the lives of the world’s one billion adult smokers by eliminating combustible cigarettes. We have the opportunity to address one of the world’s most intractable challenges through a commitment to exceptional quality, research, design, and innovation. Backed by leading technology investors, we are committed to the same excellence when it comes to hiring great talent.

We are a diverse team that is united by this common purpose and we are hiring the world’s best engineers, scientists, designers, product managers, operations experts, and customer service and business professionals. If the opportunity to build your career at one of the fastest growing companies is compelling, read on for more details.

ROLE AND RESPONSIBILITIES:

Product analytics at Juul Labs means working with varied, messy data sets and applying analytical methods to help inform and drive business and product decisions. We are looking for output-focused problem solvers with a strong conceptual mindset and superb communication skills.

The team sees itself as analytics generalists - we choose the right technique for each problem, pride ourselves on building beautiful systems and dashboards while moving fast, and are ultimately driven by the value and insight we can generate for the business and our customers.

The Data Scientist role offers tremendous upwards exposure towards senior business leaders and the chance to truly impact the decision making across the company.

KEY RESPONSIBILITIES:

  • Build predictive models and algorithms to improve JUUL products
  • Use advanced statistical techniques to analyze data and drive better decision making
  • Analyze data to create a deeper understanding of Juul’s users and their behavior
  • Identify opportunities for product improvement and optimization
  • Work through open-ended questions to distill value and support product development
  • Present findings to key leadership to influence product roadmaps
  • Support developer teams with instrumentation and reliability insights

PERSONAL AND PROFESSIONAL QUALIFICATIONS:

  • 5+ years of analytics experience at a consumer/enterprise product company
  • An understanding of various components of an end-end data stack (GCP, BigQuery, Airflow, Fivetran, dbt, Tableau, Mode)
  • Experience developing predictive models and algorithms, using python & SQL to optimize business processes and improve customer experiences
  • Experience designing and implementing experiments utilizing advanced statistical techniques to measure the impact of interventions and optimize strategies
  • Experience utilizing business intelligence tools to distill results into simple, clear visualizations
  • Ability to collaborate closely with team members as well as cross-functionally to ensure alignment with business goals and client expectations
  • Ability to operate semi-autonomously on day-to-day projects, with light manager course-correction
  • Ability to communicate sophisticated data science concepts and complex findings in an understandable manner to non-technical stakeholders
  • Ability to independently manage time to deliver on timelines, including understanding switching costs

EDUCATION:

  • University Degree or Advanced Degree in Math, Business, STEM, etc.

JUUL LABS PERKS & BENEFITS:

  • A place to grow your career. We’ll help you set big goals - and exceed them
  • People. Work with talented, committed and supportive teammates
  • Equity and performance bonuses. Every employee is a stakeholder in our success
  • Cell phone subsidy, commuter benefits and discounts on JUUL products
  • Excellent medical, dental and vision benefits
Juul Labs is proud to be an equal opportunity employer and is committed to creating a diverse and inclusive work environment for all employees and job applicants, without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. We will consider for employment qualified applicants with arrest and conviction records, pursuant to the San Francisco Fair Chance Ordinance. Juul Labs also complies with the employment eligibility verification requirements of the Immigration and Nationality Act. All applicants must have authorization to work for Juul Labs in the US. #LI-remote

SALARY RANGES:
Salary varies by role, level and location, and is dependent on the cost of labor in a given
geographic region among other factors. These ranges may be modified at any time.

LOCATIONS:
Tier 1 Locations: Greater New York City, and San Francisco Bay Area
Tier 2 Locations: Greater Boston, Washington DC Metropolitan Area, Seattle/Tacoma,
Greater Sacramento, Los Angeles/OC/San Diego
Tier 3 Locations: Rest of New England, NY Capital District, Rest of New Jersey, Greater
Philadelphia, Pittsburgh, Delaware, Rest of Maryland, Rest of Virginia, North Carolina,
Atlanta, Miami-Fort Lauderdale-WPB, Chicagoland, Dallas, Houston, Austin,
Minneapolis/St. Paul, Colorado, Phoenix, Reno, Las Vegas, Portland Ore./Vancouver
Wash., Rest of California, Hawaii
Tier 4 Locations: Rest of US including Alaska and Puerto Rico

Tier 1 Range:
$121,000—$167,000 USD
Tier 2 Range:
$111,000—$153,000 USD
Tier 3 Range:
$104,000—$143,000 USD
Tier 4 Range:
$95,000—$131,000 USD

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5d

Principal Architect, Machine Learning, Field CTO Office

airflow ● sql ● Design ● python

snowflakecomputing is hiring a Remote Principal Architect, Machine Learning, Field CTO Office

Build the future of data. Join the Snowflake team.

We’re at the forefront of the data revolution, committed to building the world’s greatest data and applications platform. Our ‘get it done’ culture allows everyone at Snowflake to have an equal opportunity to innovate on new ideas, create work with a lasting impact, and excel in a culture of collaboration.

Our Industries Sales Engineering organization is seeking a Principal Architect, Machine Learning, Industries Field CTO focused on Machine Learning and Artificial Intelligence to join our team who can provide leadership in working with both technical and business executives in the design and architecture of the Snowflake Cloud Data Platform as a critical component of their enterprise data architecture and overall machine learning ecosystem.

In this role you will work with sales teams, product management, and technology partners to leverage best practices and reference architectures highlighting Snowflake’s Cloud Data Platform as a core technology enabling platform for the emerging Data Science workload throughout an organization.

As a Senior Architect focused on Machine Learning you must share our passion and vision in helping our customers and partners drive faster time to insight through Snowflake’s Cloud Data Platform, thrive in a dynamic environment, and have the flexibility and willingness to jump in and get things done. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences.

IN THIS ROLE YOU WILL GET TO:

  • Apply your data science architecture expertise while presenting Snowflake technology and vision to executives and technical contributors at strategic prospects, customers, and partners
  • Work with our sales teams, product management, and partners to drive innovation in our Cloud Data Platform and adoption of Snowflakes core ML and GenAI technologies
  • Partner with sales team and channel partners to understand the needs of our customers,  strategize on how to navigate and accelerate winning sales cycles, provide compelling value-based enterprise architecture deliverables and working sessions to ensure customers are set up for success operationally, and support strategic enterprise pilots / proof-of-concepts 
  • Collaborate closely with our Product team to effectively influence the Snowflake’s product roadmaps based on field team and customer feedback
  • Partner with Product Marketing teams to spread awareness and support pipeline building via customer roundtables,  conferences, events, blogs, webinars, and whitepapers

ON DAY ONE, WE WILL EXPECT YOU TO HAVE:

  • 5+ years of experience building and deploying machine learning solutions in the cloud 
  • Deep technical hands on expertise within Data Science tools and ecosystem 
  • 2+ years of working with cloud native ML tools 
  • Outstanding presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
  • Working knowledge with data engineering technologies and tools (dbt, Airflow, etc)
  • Expert level knowledge of Data Science and ML fundamentals
  • Working knowledge of deep learning concepts, techniques, and tools (Pytorch, Tensorflow, etc). 
  • 2+ years experience building and deploying ML and data engineering applications and solutions on Spark
  • Expert level knowledge of Python and popular third party packages(Pandas, Numpy, Tensorflow, sklearn, Pytorch, etc)
  • Working knowledge of SQL
  • Introductory familiarity with LLM developer tools like langchain or LlamaIUndex 
  • Industry Focus a plus (Financial Services, Healthcare & Lifesciences, Media, Retail / CPG, Manufacturing, Insurance, Technology and Telecom, or Federal)
  • Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred.

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. 

How do you want to make your impact?

Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.

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7d

Senior Machine Learning Engineer

ResultantIndianapolis, IN, Remote
nosql ● airflow ● postgres ● sql ● Design ● mongodb ● azure ● api ● docker ● linux ● python ● AWS

Resultant is hiring a Remote Senior Machine Learning Engineer

Job Description

At Resultant, we are fearless problem solvers.  We are passionate about helping our clients solve their toughest problems, while empathizing with people our solutions will help.  Data analytics is a core component of how we do this.  We are looking for a Machine Learning Engineer to add to our talented team of team of Data Scientists, Data Engineers, and Data Architects to solve some of the most exciting and challenging problems faced by companies and governments in today’s fast-paced environment. As a machine learning, you will have the opportunity to develop novel machine learning and AI (Artificial Intelligence) solutions and deploy them to production applications and systems.   

Here is what a typical day for you might look like:   

  • Design, develop and deploy efficient data pipeline for both structured and unstructured data  

  • Productionize machine learning research in both on premises and cloud environments  

  • Rapid prototyping and adoption of new data sources  

  • Maintain best software engineering practices  

  • Drive optimization, testing and tooling to improve quality of solutions  

  • Develop and apply machine learning and advanced analytics algorithms to solve problems you have never seen before   

  • Collaborate with data architects and software developers to plan and construct the architecture of model deployment   

  • Develop and support APIs to serve models and other data solutions  

  • Learn new tools and technologies to solve the problems faced by our clients  

Qualifications

*This is not an entry level/recent graduate role and requires at least 6+ years of related industry experience. Some of the qualifications and skills we are expecting are:   

  • Bachelor’s degree (and preferably an advanced degree) in Computer Science, Engineering, or in a quantitative field is required.   

  • 4+ years of experience with software engineering in Python (additional languages like Scala/C++/R are a plus)  

  • 2+ years of experience with Databricks and/or Spark  

  • 2+ years of experience with advanced analytics and modern machine learning techniques  

  • 4+ years of experience with APIs, containerization (Docker), and orchestration (Airflow)  

  • 5+ years of experience with relational databases and SQL (Postgres, Redshift, SQL Server)  

  • 3+ years of experience with Cloud platforms (Azure, AWS, GCP) and services  

  • 3+ years of experience with Python API development frameworks (FastAPI, Django, Flask)  

  • Experience with NoSQL and streaming platforms, e.g., Kafka, MongoDB, Neo4j is a plus  

  • Experience with cloud native services such as AWS EMR, Databricks, HDInsight, Sagemaker is a plus  

  • Proficient with version control and CI/CD 

  • Proficient in software architecture and design patterns  

  • Proficient on Linux for both development and operations  

Strong working knowledge of the following:   

  • Modern data mining and machine learning methods   

  • Statistics, mathematics, computer science, numerical methods, and data visualization   

  • Linear algebra and probability   

  • Rapid prototyping and development   

  • Solution creativity and effective written, verbal, and presentation skills   

  • Progressive mindset particularly around deployment models and emerging technologies   

  • Collaborative team player who is detailed oriented, focused on solution quality and execution   

  • Comfortable working across a wide range of project sizes and industries   

  • Entrepreneurial inclination to discover novel opportunities for applying analytical techniques to business and social problems   

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9d

Senior Software Engineer - Data

JW PlayerUnited States - Remote
agile ● airflow ● java ● docker ● elasticsearch ● kubernetes ● python ● AWS ● backend

JW Player is hiring a Remote Senior Software Engineer - Data

About JWP:

JWP is transforming the Digital Video Economy as a trusted partner for over 40,000 broadcasters, publishers, and video-driven brands through our cutting-edge video software and data insights platform. JWP empowers customers with unprecedented independence and control over their digital video content. Established in 2004 as an open-source video player, JWP has evolved into the premier force driving digital video for businesses worldwide. With a rich legacy of pioneering video technology, JWP customers currently generate 8 billion video impressions/month and 5 billion minutes of videos watched/month. At JWP, everyone shares a passion for revolutionizing the digital video landscape. If you are ready to be a part of a dynamic and collaborative team then join us in shaping the future of video! 

The Data Engineering Team: 

At JWP, our data team is a dynamic and innovative team, managing the data lifecycle, from ingestion to processing and analysis, touching every corner of our thriving business ecosystem. Engineers on the team play a pivotal role in shaping the company's direction by making key decisions about our infrastructure, technology stack, and implementation strategies. 

The Opportunity: 

We are looking to bring on a Senior Software Engineer to join our Data Engineering team. As an Engineer on the team, you will be diving into the forefront of cutting-edge big data tools and technology. In this role, you will have the opportunity to partner closely with various teams to tackle crucial challenges for one of the world's largest and rapidly expanding video companies. Join us and make an impact at the forefront of digital innovation.

As a Senior Data Engineer, you will:

  • Contribute to the development of distributed batch and real-time data infrastructure.
  • Mentor and work closely with junior engineers on the team. 
  • Perform code reviews with peers. 
  • Lead small to medium sized projects, documenting and ticket writing the projects. 
  • Collaborate closely with Product Managers, Analysts, and cross-functional teams to gather insights and drive innovation in data products. 

Requirements for the role:

  • Minimum 5+ years of backend engineering experience with a passionate interest for big data.
  • Expertise with Python or Java and SQL. 
  • Familiarity with Kafka
  • Experience with a range of datastores, from relational to key-value to document
  • Demonstrate humility, empathy, and a collaborative spirit that fuels team success. 

Bonus Points:

  • Data engineering experience, specifically with data modeling, warehousing and building ETL pipelines
  • Familiarity with AWS - in particular, EC2, S3, RDS, and EMR
  • Familiarity with Snowflake
  • Familiarity with Elasticsearch
  • Familiarity with data processing tools like Hadoop, Spark, Kafka, and Flink
  • Experience with Docker, Kubernetes, and application monitoring tools
  • Experience and/or training with agile methodologies
  • Familiarity with Airflow for task and dependency management

Perks of being at JWP, United States

Our goal is to take care of you and ensure you will be successful in your new role. Your success is our success! 

As a full time employee, you will qualify for:

  • Private Medical, Vision and Dental Coverage for you and your family
  • Unlimited Paid Time Off
  • Stock Options Purchase Program
  • Quarterly and Annual Team Events
  • Professional Career Development Program and Career Development Progression
  • New Employee Home Office Setup Stipend
  • Monthly Connectivity Stipend
  • Free and discounted perks through JWP's benefit partners
  • Bi-Annual Hack Weeks for those who are interested in using their coding knowledge
  • Fireside chats with individuals throughout JWP

*Benefits are subject to location and can change at the discretion of the Company. 

Check out our social channels:

    

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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9d

Senior Data Engineer, Finance

InstacartUnited States - Remote
airflow ● sql ● Design

Instacart is hiring a Remote Senior Data Engineer, Finance

We're transforming the grocery industry

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.

Instacart is a Flex First team

There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.

Overview

 

At Instacart, our mission is to create a world where everyone has access to the food they love and more time to enjoy it together. Millions of customers every year use Instacart to buy their groceries online, and the Data Engineering team is building the critical data pipelines that underpin all of the myriad of ways that data is used across Instacart to support our customers and partners.

About the Role 

 

The Finance data engineering team plays a critical role in defining how financial data is modeled and standardized for uniform, reliable, timely and accurate reporting. This is a high impact, high visibility role owning critical data integration pipelines and models across all of Instacart’s products. This role is an exciting opportunity to join a key team shaping the post-IPO financial data vision and roadmap for the company.

 

About the Team 

 

Finance data engineering is part of the Infrastructure Engineering pillar, working closely with accounting, billing & revenue teams to support the monthly/quarterly book close, retailer invoicing and internal/external financial reporting. Our team collaborates closely with product teams to capture critical data needed for financial use cases.

 

About the Job 

  • You will be part of a team with a large amount of ownership and autonomy.
  • Large scope for company-level impact working on financial data.
  • You will work closely with engineers and both internal and external stakeholders, owning a large part of the process from problem understanding to shipping the solution.
  • You will ship high quality, scalable and robust solutions with a sense of urgency.
  • You will have the freedom to suggest and drive organization-wide initiatives.

 

About You

Minimum Qualifications

  • 6+ years of working experience in a Data/Software Engineering role, with a focus on building data pipelines.
  • Expert with SQL and  knowledge of Python.
  • Experience building high quality ETL/ELT pipelines.
  • Past experience with data immutability, auditability, slowly changing dimensions or similar concepts.
  • Experience building data pipelines for accounting/billing purposes.
  • Experience with cloud-based data technologies such as Snowflake, Databricks, Trino/Presto, or similar.
  • Adept at fluently communicating with many cross-functional stakeholders to drive requirements and design shared datasets.
  • A strong sense of ownership, and an ability to balance a sense of urgency with shipping high quality and pragmatic solutions.
  • Experience working with a large codebase on a cross functional team.

 

Preferred Qualifications

  • Bachelor’s degree in Computer Science, computer engineering, electrical engineering OR equivalent work experience.
  • Experience with Snowflake, dbt (data build tool) and Airflow
  • Experience with data quality monitoring/observability, either using custom frameworks or tools like Great Expectations, Monte Carlo etc

 

#LI-Remote

Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policyhere.

Offers may vary based on many factors, such as candidate experience and skills required for the role.Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offeringshere.

For US based candidates, the base pay ranges for a successful candidate are listed below.

CA, NY, CT, NJ
$192,000—$213,000 USD
WA
$184,000—$204,000 USD
OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI
$176,000—$196,000 USD
All other states
$159,000—$177,000 USD

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11d

DevOps Support Engineer

NielsenIQBelgrade, Serbia, Remote
agile ● terraform ● airflow ● sql ● oracle ● azure ● git ● docker ● postgresql ● kubernetes ● linux ● jenkins ● python

NielsenIQ is hiring a Remote DevOps Support Engineer

Job Description

As a Systems Engineer in the company’s Business Process Automation CoE Team, you will play a pivotal role in ensuring the overall health, performance, availability, and capacity of several automation tools and platforms. Your responsibilities will encompass support and proactive system improvements, incident and change management, automation, and ensuring the availability and performance of mission-critical services.

  • Ensure end-to-end availability and performance of mission-critical services.
  • Providing L2 support for users.
  • Handling of incident and change management requests.
  • Proactively seek systems improvements through performance monitoring and capacity analysis.
  • Implement and manage container architecture using tools like Docker and Kubernetes.
  • Administer and support SQL database engines such as PostgreSQL, MSSQL and Oracle.
  • Utilize Azure Cloud services including Virtual Machine, AKS, and Virtual Network.
  • Work with Linux-based infrastructure and scripting languages like Bash, Python, and PowerShell.
  • Utilize configuration management and CI/CD tools such as GIT, ELK, and Helm Charts.
  • Automate testing, code deployment, and monitoring using tools like Terraform, Jenkins, and GitLab.
  • Work closely with the development team to ensure seamless integration and deployment.
  • Ensure security and compliance of cloud assets by integrating security best practices and deploying cloud security tools.

Qualifications

  • Bachelor’s degree in computer science, Engineering, or related field.
  • 3+ years of experience as a DevOps/Systems Engineer.
  • Experience with container orchestration tools (e.g., Kubernetes, Docker).
  • Experience with SQL databases (e.g., PostgreSQL, MSSQL, Oracle).
  • Familiarity with Azure Cloud services and networking configurations.
  • Experience with Linux and Windows operating systems.
  • Strong knowledge of scripting languages such as: Bash, PowerShell and Python.
  • Experience and understanding of monitoring tools and practices (LogicMonitor, Nagios, Zabbix).
  • Experience with configuration management, CI/CD tools, and automation tools.
  • Knowledge of BPM, Workflow and Workload Automation tools like AirFlow, KissFlow, RunMyjobs, ActiveBatch.
  • Experience in Cloud Networking area and Hybrid network configurations.
  • Knowledge of RPA automation tools such as UiPath and Microsoft Power Automate.
  • You have a willingness to work as a part of a distributed and agile international team.
  • Good communication skills and fluency in English, both written and spoken.

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16d

Senior Big Data Engineer (Web and Mobile unit needs)

Sigma SoftwareKyiv, Ukraine, Remote
airflow ● sql ● Design ● api ● linux ● python ● AWS

Sigma Software is hiring a Remote Senior Big Data Engineer (Web and Mobile unit needs)

Job Description

  • Contributing to new technologies investigations and complex solutions design, supporting a culture of innovation considering matters of security, scalability, and reliability with the focus on building out our ETL processes
  • Working with a modern data stack, producing well-designed technical solutions and robust code, and implementing data governance processes
  • Working and professionally communicating with the customer’s team
  • Taking up responsibility for delivering major solution features
  • Participating in requirements gathering & clarification process, proposing optimal architecture strategies, leading the data architecture implementation
  • Developing core modules and functions, designing scalable and cost-effective solutions
  • Performing code reviews, writing unit and integration tests
  • Scaling the distributed system and infrastructure to the next level
  • Building data platform using the power of modern cloud providers (AWS/GCP/Azure)

Extra Responsibilities 

  • These responsibilities will help you to grow professionally and can vary depending on the project and the desire to extend your role in the company
  • Being in the AWS cloud team and actively contributing to the partnership
  • Developing the Micro Batch/Real-Time streaming pipelines (Lambda architecture)
  • Working on POCs for validating proposed solutions and migrations
  • Leading the migration to modern technology platforms, providing technical guidance
  • Adhering to CI/CD methods, helping to implement best practices in the team
  • Contributing to unit growth, mentoring other members of the team (optional)
  • Owning the whole pipeline and optimizing the engineering processes
  • Designing complex ETL processes for analytics and data management, driving the massive implementation

Qualifications

  • 5+ years of experience with Python and SQL
  • Experience with AWS, specifically API Gateway, Kinesis, Athena, RDS, and Aurora
  • Experience building ETL pipelines for analytics and internal operations
  • Experience building internal APIs and integrating with external APIs
  • Working with Linux operational system
  • Effective communication skills, especially for explaining technical concepts to nontechnical business leaders
  • Desire to work in a dynamic, research-oriented team
  • Experience with distributed application concepts and DevOps tooling
  • Excellent writing and communication skills
  • Troubleshooting and debugging ability

WILL BE A PLUS

  • 2+ years of experience with Hadoop, Spark, and Airflow
  • Experience with DAGs and orchestration tools
  • Practical experience with developing Snowflake-driven data warehouses
  • Experience with developing event-driven data pipelines

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17d

Data Engineer, Staff

Stay22Montréal, QC Remote
10 years of experience ● airflow ● sql ● Design ● python ● AWS

Stay22 is hiring a Remote Data Engineer, Staff

Job Description

Stay22 is a fast growing and profitable Travel Tech startup in Montreal that helps content creators to better monetize their content while improving the overall experience of their end users through different innovative solutions that makes it easy to search for travel related services. Over 100 million unique users go every month through our products that are embedded in the top most pages and platforms in travel discovery. Our Data team serves as a cornerstone for various stakeholders including Finance, Customer Service, Sales, Product. Join us to push the boundaries of predictive modeling and AI in travel technology.

Job Summary

We are searching for a Data Engineer with strong back-end experience to join our growing Data team. You will support data structure and maintain data products related to Stay22 partners, user interactions, and transactions data. In this role, you will be responsible for processing, reviewing and organizing data. You will provide accurate, timely, and consistent data to the organization and will create data management strategies including data acquisition and cleansing, data validation activities, writing specifications for data verifications, etc.

Key Responsibilities

  • Designs and implements efficient ETL/ELT processes to ingest, transform, and load data.
  • Help define and build key datasets across all Stay22 product areas. Lead the evolution of these datasets as use cases grow
  • Analyze data flows and dependencies, and design and implement data models for optimal storage and retrieval processes
  • Optimizes data pipelines for performance, scalability, and reliability
  • Developing integrations with third party systems to source and/or distribute various datasets
  • Collaborates with cross-functional teams and multiple disciplines to understand data requirements and provide technical expertise on data-related projects
  • Implements data governance best practices to ensure data quality, integrity, and security
  • Builds and maintains documentation for data processes, data dictionaries, and data lineage
  • Applies highly developed knowledge of complex algorithms, data science methods, and statistical analysis techniques to prepare and present data visualizations to key stakeholders and leaders of relevant business units
  • Remains current with industry trends and best practices in data engineering, cloud technologies, and data analytics
  • Coaches and trains junior colleagues in techniques, processes, and responsibilities

Requirements

  • B.S. or M.S in Computer Science or equivalent experience
  • 8-10 years of experience in data engineering or related roles
  • Proven experience (8+ years) as a Data Engineer or similar role, with a focus on data modeling, SQL (6+ years), Python, and Snowflake or BigQuery.
  • Experience with workflow orchestration management engines such as Airflow, DBT, etc
  • Strong proficiency in SQL for data manipulation and querying
  • Hands-on experience with cloud-based data platforms (AWS, Google Cloud)
  • Solid understanding of data warehousing concepts, dimensional modeling, and ETL/ELT processes
  • Strong communication and collaboration skills, with the ability to work effectively in a team environment
  • Self-starter who takes ownership, gets results, and enjoys moving at a fast pace
  • Excellent problem-solving skills and the ability to translate business requirements into technical solutions

Why join Stay22?

  • We are dedicated to revolutionizing the way we book travel, using ML & AI to develop new solutions to help content creators monetize their content.
  • Growing fast means growth opportunities.
  • We make our stars run their own show in the Stay22 universe.
  • We also have the coolest (and bright) lair, available if you want to mingle, in the center of Montreal’s Plateau Mont Royal, surrounded by the best shops and restaurants in town.
  • We take people as they are: come-as-you-are dress code, personalized work schedules…
  • We give them what they want: health & dental benefits, learning & development opportunities, social & team building activities including cool retreats…

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18d

Senior Machine Learning Engineer, Financial Crimes (Cash App)

SquareRemote, CA, Remote
Bachelor's degree ● airflow ● Design ● git ● mysql ● python ● AWS

Square is hiring a Remote Senior Machine Learning Engineer, Financial Crimes (Cash App)

Job Description

The Financial Crimes Technology team at Cash App detects and reports illegal and suspicious activity on Cash App. We work globally with partners in Product, Counsel and Engineering to ensure we are providing a safe user experience for our customers while minimizing or eliminating bad activity on our platform.

We use Machine Learning and Generative AI as an important part of our toolkit. As Cash App scales, we monitor hundreds of billions of dollars in transactions across traditional payment and blockchain networks. Our machine learning systems monitor and surface suspicious activity (money laundering, illegal activity and terms of service violations) for agent review. Our systems block payments in real-time where appropriate. We use generative AI technologies to improve agent workflow and case review tools, by adding features that accelerate agent productivity and allow them to make more informed and accurate decisions. We are looking for a senior MLE that can integrate vertically into the ML sub-team and focus on building/enhancing tools, libraries, frameworks, developer environments etc. for ML modeling workflows.

This is an IC role reporting into the Data Science and ML Modeling Manager that has leadership responsibilities including driving strategic roadmaps and priorities to completion by collaborating with cross functional stakeholders.

You will:

  • Design, build and enhance batch and real-time inference services and tooling that support our ML use cases
  • Facilitate modelers on the team by unblocking access to the infrastructure/tools necessary for development including MLOps
  • Develop prototypes and partner with ML modelers to encourage adoption of new tools and technologies and plan for future needs of our ML teams
  • Join a new and growing team and have a significant impact on influencing team culture.

Qualifications

You have:

  • 4+ years of combined Machine Learning and Engineering industry experience (full stack ML experience)
  • A Bachelor's degree in computer science, data science, operations research, applied math, stats, physics, or related technical field
  • Familiarity with Linux/OS X command line, version control software (git), and software development principles with a machine learning software development life-cycle orientation.
  • Experience working with product, business, and engineering to prioritize, scope, design, and deploy ML models
  • Familiarity with Python computing stack, MySQL, Snowflake, Airflow, Java/Go
  • Hosted models for inference on public clouds like GCP, AWS and/or built micro-services to facilitate event based triggering, feature generation, model inference and downstream actioning.

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18d

Programmatic Ads Data Science Lead

SquareSan Francisco, CA, Remote
Bachelor degree ● tableau ● airflow ● sql ● Design ● python

Square is hiring a Remote Programmatic Ads Data Science Lead

Job Description

The Data Science team at Cash App is customer-obsessed, collaborates intensely with other key disciplines, and always makes decisions with an eye towards Cash App’s business as a whole. The goal of the DS team is to derive valuable insights from our extremely unique datasets and turn those insights into actions that improve the experience for our customers every day. 

We’re hiring a Data Science Lead to join the Commerce team, supporting our programmatic ads business. We have developed a robust onsite advertising business on Afterpay and now we’re looking to build the next generation of our advertising business that will connect our merchants and customers more deeply off-platform. 

We’re seeking an exceptional Data Scientist to help define the strategy for this business and lay the foundation for transformative, highly complex, “0 to 1” features. You will play a critical role in accelerating Cash App’s growth by focusing on developing a strategic thought partnership with our teams in Product and Sales, and leverage data to enable us to achieve our roadmap goals, make effective spend decisions across marketing channels and understand the impact of incentives on Cash App users. 

You will:

  • Build models to optimize our programmatic marketing efforts to ensure our spend has the best possible ROI
  • Design and analyze experiments to evaluate the impact of marketing campaigns we launch
  • Analyze large datasets using SQL and scripting languages to surface actionable insights and opportunities to the Marketing product team and other key stakeholders
  • Approach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behavior & segments
  • Build, forecast, and report on metrics that drive strategy and facilitate decision making for key business initiatives
  • Write code to effectively process, cleanse, and combine data sources in unique and useful ways, often resulting in curated ETL datasets that are easily used by the broader team
  • Build and share data visualizations and self-serve dashboards for your partners
  • Effectively communicate your work with team leads and cross-functional stakeholders on a regular basis

Qualifications

You have:

  • A bachelor degree in statistics, data science, or similar STEM field with 7+ years of experience in a relevant role OR
  • A graduate degree in statistics, data science, or similar STEM field with 5+ years of experience in a relevant role
  • Advanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc)
  • Experience with scripting and data analysis programming languages, such as Python or R
  • Worked extensively with Causal Inference techniques and off platform data
  • A knack for turning ambiguous problems into clear deliverables and actionable insights 
  • Gone deep with cohort and funnel analyses, a deep understanding statistical concepts such as selection bias, probability distributions, and conditional probabilities

Technologies we use and teach:

  • SQL, Snowflake, etc.
  • Python (Pandas, Numpy)
  • Tableau, Airflow, Looker, Mode, Prefect

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18d

Senior Software / Data Engineer

DataTribeRemote
agile ● nosql ● airflow ● sql ● c++ ● docker ● postgresql ● kubernetes ● linux ● python ● AWS ● backend

DataTribe is hiring a Remote Senior Software / Data Engineer

Senior Software / Data Engineer - DataTribe - Career Page

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19d

Manager, Product Analytics

tableau ● airflow ● sql ● Design ● c++ ● python

hims & hers is hiring a Remote Manager, Product Analytics

Hims & Hers Health, Inc. (better known as Hims & Hers) is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are revolutionizing telehealth for providers and their patients alike. Making personalized solutions accessible is of paramount importance to Hims & Hers and we are focused on continued innovation in this space. Hims & Hers offers nonprescription products and access to highly personalized prescription solutions for a variety of conditions related to mental health, sexual health, hair care, skincare, heart health, and more.

Hims & Hers is a public company, traded on the NYSE under the ticker symbol “HIMS”. To learn more about the brand and offerings, you can visit hims.com and forhers.com, or visit our investor site. For information on the company’s outstanding benefits, culture, and its talent-first flexible/remote work approach, see below and visit www.hims.com/careers-professionals.

​​About the Role:

As a Manager of Product Analytics you and your team will shape the customer experience through high quality experimental design and hypothesis testing. You will work cross-functionally with product managers, growth leads, and marketing managers in a fast paced collaborative environment. Your knowledge of A/B testing and digital analytics combined with your background in experimental design will allow Hims and Hers to build best-in-class customer experiences. This position will report to the Senior Manager of Product Analytics.

You Will:

  • Build best-in-class customer experiences by testing into sticky product experiences
  • Build business-facing dashboards and do in-depth analyses that state both the statistical significance and the business impact of an experiment
  • Work with your team to define and curate the experimentation roadmap for the product and growth teams
  • Enable data self-service by designing templates that are easy to understand using relevant KPIs
  • Define the success of tests as well as recommended improvements to the product from the results
  • Collaborate cross-functionally across analytics teams, engineering teams, and the growth team to improve the customer experience
  • Distill our knowledge of  tests into playbooks, that can be implemented and utilized to help us transform our digital experience
  • Segment users based on demographic, behavioral, and psychographic attributes to tailor product experiences and lifecycle communications
  • Partner with cross-functional teams including product, engineering, growth, and finance to align analytics initiatives with business objectives
  • Conduct deep-dive analyses to answer specific business questions and provide actionable recommendations to product, marketing, and operational teams

You Have:

  • 5+ years of analytics experience
  • 4+ years of experience in A/B testing
  • Experience working with subscription metrics
  • Experience working with CRM data and lifecycle communication
  • A strong work ethic and the drive to learn more and understand a problem in detail
  • Strong organizational skills with an aptitude to manage long-term projects from end to end
  • Strong SQL skills 
  • Expert working with GitHub
  • Experience programming in Python, SAS, or R 
  • Experience in data modeling and statistics with a strong knowledge of experimental design and statistical inference 
  • Advanced knowledge of data visualization and BI in Looker or Tableau
  • Ability to explain technical analyses to non-technical audiences

A Big Plus If You Have:

  • 6+ years of analytics experience
  • Advanced degree in Statistics, Mathematics, or a related field
  • Experience with incentives and loyalty programs
  • Experience with price testing and modeling price elasticity
  • Experience with telehealth concepts
  • Project management experience 
  • Extensive experience working with Data Engineering
  • Model development and training (Predictive Modeling)
  • DBT, airflow, and Databricks experience

Our Benefits (there are more but here are some highlights):

  • Competitive salary & equity compensation for full-time roles
  • Unlimited PTO, company holidays, and quarterly mental health days
  • Comprehensive health benefits including medical, dental & vision, and parental leave
  • Employee Stock Purchase Program (ESPP)
  • Employee discounts on hims & hers & Apostrophe online products
  • 401k benefits with employer matching contribution
  • Offsite team retreats

#LI-Remote

Outlined below is a reasonable estimate of H&H’s compensation range for this role for US-based candidates. If you're based outside of the US, your recruiter will be able to provide you with an estimated salary range for your location.

The actual amount will take into account a range of factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and location. H&H also offers a comprehensive Total Rewards package that may include an equity grant.

Consult with your Recruiter during any potential screening to determine a more targeted range based on location and job-related factors. We don’t ever want the pay range to act as a deterrent from you applying!

An estimate of the current salary range for US-based employees is
$144,000—$166,500 USD

We are focused on building a diverse and inclusive workforce. If you’re excited about this role, but do not meet 100% of the qualifications listed above, we encourage you to apply.

Hims is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Hims considers all qualified applicants in accordance with the San Francisco Fair Chance Ordinance.

Hims & hers is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@forhims.com. Please do not send resumes to this email address.

For our California-based applicants – Please see our California Employment Candidate Privacy Policy to learn more about how we collect, use, retain, and disclose Personal Information. 

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