Lead Data Scientist

New York, NY, Remote (East Coast) / Full-Time 

ABOUT BARK

Here at BARK, we love dogs and their people. We’re looking to make all dogs happy throughout the entire world (we’re not kidding). Think Disney for dogs -- we make magic for dogs and their people through our products, events, and experiences.

Our ambition level is high, the opportunity is huge, and our love for dogs is through the roof! We launched in 2011 with BarkBox, a monthly-themed subscription of all-natural treats and clever toys. Since then, we've shipped more than 70 million toys and treats to dogs across the world and use all of that direct customer feedback to inform new initiatives and ways to make magic between dogs and their people. We’ve since expanded into other offerings as well, as we aim to become THE Dog Company for every family with a four-legged, belly-scratch-loving, interspecies family member.

THE TEAM

Meet the Data, Analytics & Machine Learning (DAML) Team, a squad of professionals dedicated to transforming how BARK leverages data to create delightful experiences for dogs and their humans. Comprising data scientists, data engineers, and BI professionals, we're a close-knit family united by our passion for innovation, creativity, and, of course, our love for dogs.

Here's what sets us apart:

Innovation: We employ cutting-edge techniques to analyze and manipulate data, driving key business decisions and enhancing customer experiences.

Collaboration: Creativity meets collaboration in our team, where data-driven insights are paired with dog-driven enthusiasm.

Culture:We celebrate our unique quirks and talents, fostering a diverse, lively, and supportive environment where everyone has a voice.

This high visibility role offers an opportunity to join our dynamic squad, working hand-in-paw with partners throughout BARK to deliver science-driven improvements across the business. If you're someone who thrives in a diverse, lively, and supportive environment, you might just be the perfect fit to join our pack!

WHO WE’RE SNIFFING FOR

We’re seeking a hands-on Lead Data Scientist to become a key contributor to BARK's data-driven decision-making process. Your expertise in uncovering insights and trends will not only shape personalized marketing strategies but also influence many aspects of the business, from marketing to product development to finance. In this role, you will combine technical prowess, leadership, collaboration, and innovation to enhance customer experiences, contribute to science-driven marketing and make a tangible impact within our unique dog-loving ecosystem.  You know what it takes to bring your work to production and know the job isn’t over once you’ve deployed. 

KEY DUTIES

• Marketing Analytics: Apply machine learning and statistical methods to drive targeted marketing campaigns, improving customer engagement and ROI.
• Improve Key Metrics: Apply data-driven approaches to create recommendations aimed at improving key performance metrics such as retention, campaign and funnel conversion, new subscribers, customer lifetime value, and more.
• AI/NLP: Drive innovation through the use of AI and mining of our unstructured data for insights.
• Communicate Results: Proactively and clearly communicate results and insights to relevant stakeholders, translating complex data into actionable business strategies.
• Collaborate And Mentor: Work and coordinate closely with peers, mentoring them in applying data science methodologies. Engage in cross-team collaborations to align data science initiatives with organizational goals.
• Stay Current & Innovate: Keep abreast of emerging technologies and methodologies in data science, continually seeking opportunities for innovation and improvement within BARK's data-driven strategies.
• Analyze Data:Analyze and manipulate raw data to extract insights and drive decision-making. Utilize statistical analysis and machine learning techniques to uncover patterns and trends.
• Create Pipelines & Tools: Design and implement data processing pipelines, visualizations, and internal tools for comprehensive analysis.
• Production:Responsible for bringing models into production and monitoring their performance.

EXPERIENCE

• Machine Learning & Statistics: Experience in applying machine learning algorithms and statistical concepts to real-world problems, generating insights, and creating actionable recommendations. Knowledge of various supervised and unsupervised learning techniques is essential.
• Python Programming: 4+ years of hands-on experience writing readable, modular Python code. Proficiency in data manipulation, analysis, and algorithm development is required.
• Data Handling:Proven ability to handle varied and complex data, including experience working with large datasets, data cleaning, preprocessing, and transformation.

Streaming/Real time: Experience with online learning, streaming and low latency inference is a bonus.

• Industry Experience: Experience in data-driven marketing, forecasting, or product development is essential. Cross-functional work experience preferred.
• AI:Familiarity with LLM models, embedding techniques and information retrieval strategies is desirable.

SKILLS & QUALIFICATIONS

• Communication Skills: Excellent written, verbal and presentation skills, with the ability to clearly and concisely communicate results and concepts to relevant stakeholders, including c-suite partners.
• Interpersonal Skills: Collaboration and teamwork, comfortable leading projects, coordinating peers and mentoring those around you.
• Adaptability:Demonstrated aptitude and appetite for picking up new technologies and methodologies, adapting to changing business needs.
• Attention to Detail: Sharp analytical mind with meticulous attention to detail and understanding of nuance.
• Business Acumen: Passion for growing and strengthening a business using data-driven approaches, with an understanding of key performance metrics.
• Statistical Analysis: Breadth of knowledge in statistical concepts and techniques, with the ability to apply them in diverse contexts.
• Machine Learning Expertise: Familiarity with popular python-based machine learning frameworks and libraries such as scikit-learn, xgboost, and PyTorch.
• SQL Mastery: Ability to write complex SQL queries and perform data manipulation across multiple data sources.  Redshift and BigQuery experience is a plus.
• Linux/Bash Skills:Moderate grasp of bash/Linux, including scripting and system operations.
• Education:Advanced degree in machine learning, computer science, mathematics or a related field.

This position is a full-time salaried position. It is located at our office in New York but open to remote possibility as well. We offer health insurance for both you and your pup, 401k, unlimited PTO, cold brew on tap, and a dog to pet anytime you wish.  

At BARK, we believe that diversity fuels innovation and creates a richer experience for our employees and customers. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Therefore, we actively encourage applications from individuals of all races, ethnicities, religions, genders, ages, sexual orientations, disabilities, veteran status, and other characteristics that make our team unique. If you share our passion for dogs and are excited about working in an inclusive environment where your individuality is celebrated, we want to hear from you! Experience with dogs is a plus, but all backgrounds and experiences are valued here.

PAY TRANSPARENCY 

• The base salary range for this position is $156,000 - $187,000
• This position is eligible for equity 

**This compensation range is based on BARKs good faith estimate as of the date of this posting and may be modified in the future. Actual pay for this position will depend on a variety of variables including location, travel, internal equity, experience, education, skills and expertise.

At Webflow, our mission is to bring development superpowers to everyone. Webflow is the leading visual development platform for building powerful websites without writing code. By combining modern web development technologies into one platform, Webflow enables people to build websites visually, saving engineering time, while clean code seamlessly generates in the background. From independent designers and creative agencies to Fortune 500 companies, millions worldwide use Webflow to be more nimble, creative, and collaborative. It’s the web, made better. 

We’re adding a Senior Data Scientist to our team to help inform the future of Webflow with data by building a deep understanding of how our customers create for the web with our product. You’ll partner directly with key product stakeholders to identify interesting business questions and provide the data and quantitative analysis to answer them, leading the development of KPIs and helping teams understand how to improve our user experience. As an early member of our data team, you will also be working to improve our data warehouse by thoughtfully developing clean and reliable data pipelines for lasting impact.

About the role 

• Location: San Francisco HQ or US remote
• Full-time 
• Permanent 
• Exempt 
• Our cash compensation amount for this role ranges from $143,000 in our lowest geographic market up to $198,000 for US locations with a higher cost of labor. All figures cited above are in $USD and pertain to workers located in the United States. Pay is based on several factors including market location, and may vary depending on job related experience, knowledge, qualifications, and skills.

Please visit our Careers page for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.

• Reporting to the Manager, Data Science

As a Senior Data Scientist you’ll … 

• Enable our product teams to think strategically with key stakeholders about how customers engage with Webflow, identifying and executing on high impact growth opportunities with actionable insights
• Define product and business success metrics, building tools for monitoring and surfacing drivers of KPIs (Key Performance Indicators)
• Leadtechnical and non-technical team members with processes and technical expertise for executing experiments, answering open ended business questions with data, and researching levers for improving our product, 
• Develop our data foundation, experimentation and machine learning capabilities, collaborating on our strategic roadmap for building new pipelines and tools that contribute to our connected, complete understanding of our customer journey and improve our customer experience. We currently use Snowflake, DBT, Tableau, and Fivetran and are working with our Data Engineering collaborators on scaling our platform capabilities with a number of other tools!

In addition to the responsibilities outlined above, at Webflow we will support you in identifying where your interests and development opportunities lie and we'll help you incorporate them into your role.

About you 

You’ll thrive as a Senior Data Scientist if you:

• Have 4+ years of experiencein a Data Science (or similar) position 
• Have interest and experiencein mentoring and developing the technical skills of your team members, helping to build a collaborative data science practice
• Have demonstrated experience working as a Data Scientist (or the equivalent in quantitative analysis), contributing to the strategic roadmap, providing high quality, reproducible analysis that impacts company strategy and decision making, building tools to enable scalable processes and enabling others to do the same
• Have expertisein applied statistics (e.g. predictive modeling, hypothesis testing, regressions), segmentation and experimentation (e.g. A/B testing) in an industry setting and the ability to explain concepts to technical and non-technical team members
• Have proficiencyin SQL, and experience with a programming language like Python or R
• Curious about diving into the nuances of our business and product data 
• Thrive collaboratingwith product teams in a fast-paced and sometimes ambiguous environment, solving complex and nuanced problems

Our Core Behaviors:

• Obsess over customer experience. We deeply understand what we’re building and who we’re building for and serving. We define the leading edge of what’s possible in our industry and deliver the future for our customers
• Move with heartfelt urgency. We have a healthy relationship with impatience, channeling it thoughtfully to show up better and faster for our customers and for each other. Time is the most limited thing we have, and we make the most of every moment
• Say the hard thing with care. Our best work often comes from intelligent debate, critique, and even difficult conversations. We speak our minds and don’t sugarcoat things — and we do so with respect, maturity, and care
• Make your mark. We seek out new and unique ways to create meaningful impact, and we champion the same from our colleagues. We work as a team to get the job done, and we go out of our way to celebrate and reward those going above and beyond for our customers and our teammates

Benefits & wellness

• Equity ownership (RSUs) in a growing, privately-owned company
• 100% employer-paid healthcare, vision, and dental insurance coverage for employees and dependents (full-time employees working 30+ hours per week), as well as Health Savings Account/Health Reimbursement Account, dependent care Flexible Spending Account (US only), dependent on insurance plan selection where applicable in the respective country of employment; Employees may also have voluntary insurance options, such as life, disability, hospital protection, accident, and critical illness where applicable in the respective country of employment
• 12 weeks of paid parental leave for both birthing and non-birthing caregivers, as well as an additional 6-8 weeks of pregnancy disability for birthing parents to be used before child bonding leave (where local requirements are more generous employees receive the greater benefit); Employees also have access to family planning care and reimbursement
• Flexible PTO with a mandatory annual minimum of 10 days paid time off for all locations (where local requirements are more generous employees receive the greater benefit), and sabbatical program
• Access to mental wellness and professional coaching, therapy, and Employee Assistance Program
• Monthly stipends to support health and wellness, smart work, and professional growth
• Professional career coaching, internal learning & development programs
• 401k plan and pension schemes (in countries where statutorily required) financial wellness benefits, like CPA or financial advisor coverage
• Discounted Pet Insurance offering (US only)
• Commuter benefits for in-office employees

Temporary employees are not eligible for paid holiday time off, accrued paid time off, paid leaves of absence, or company-sponsored perks unless otherwise required by law.

Be you, with us

At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.

Stay connected

Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog, LinkedIn, X (Twitter), and/or Glassdoor. 

Please note:

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for confidential accommodation requests will be administered.

To join Webflow, you'll need a valid right to work authorization depending on the country of employment.

If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes.

For information about how Webflow processes your personal information, please reviewWebflow’s Applicant Privacy Notice. 

Staff Data Scientist 

Clover is reinventing health insurance by working to keep people healthy.

Clover's Data Science team is charged with leveraging our data—our most important asset—to generate value for our members. From understanding how the member experience impacts clinical outcomes to making our home visits more efficient and effective, our team pushes out insights central to executing on our core mission. And our impact is tremendous: you'll be able to point to one of our members and say, “I helped make that person's life better.”

We’re looking for a Staff Data Scientist to help us build a revolutionary new health care company. 

As a Staff Data Scientist you will:

• Ensure the health of a business function using data science techniques
• Solve simple problems simply, while bringing in state of the art techniques to solve more challenging problems, in a way that optimizes for business impact.
• Ship production-quality code and data models.
• Bring in patterns and frameworks that accelerate the teams' ability to ship data science work where they’re useful.
• Materially improve the Clover product at large by dramatically improving outcomes in an area.
• Be a trusted spokesperson, advocate and resident scientist for a critical body of data science work.
• Establish a high-bandwidth, effective feedback loop with stakeholders to ensure that area work delivers on its objectives.
• Within the team, be a mentor and teacher who materially improves others' ability to deliver.

You will love this job if you:

• You want to create impactwith your work by finding insights in the data that unlock value and improve outcomes. 
• You are excited to unlocknew areas for data science work.
• You have a strong understanding of how to structure analyses and experiments to yield interpretable, actionable results.
• You reason holistically. From project scope to priority to implementation, you'll have an impact on how decisions get made.
• You are comfortable acting autonomously in ambiguous and dynamic environments.
• You are fearless in the face of messy data, and adept at programmatically structuring and cleaning records collected from the real world.
• You strive to automate as much as possible, yet understand the value of explicitly incorporating human decisionsinto the systems you build.
• You have just as much interest in helping other people move faster as you do building your own analyses.

You should get in touch if you:

• Have a strong foundation in probability and statistics, and demonstrated facility with machine learning tools, including SQL and python, as well as statistical and machine learning packages
• Have demonstrated success mapping business goals to data solutions and delivered substantial business value with technical work, especially strategically through the lifecycle of the business
• Can proactively manage project scope, and actively look for fast-path solutions to prove out your ideas and more complex solutions when justifiable
• Have experience and a passion for working with messy data 
• Have opened new opportunities for data science or have unblocked new business areas with data science
• Have expanded the data science toolkit in ways that significantly change the velocity, quality, or scope of data science work.
• Want to understand the company's open problems and processes and are comfortable in matching your expertise to the work that needs to be done.  
• Have an advanced degree in a quantitative field, especially dealing with complex data-driven results, or equivalent experience

A reasonable estimate of the base salary range for this role is $189 to $306k. Final pay is based on several factors including but not limited to internal equity, market data, and the applicant’s education, work experience, certifications, etc.

#LI-Remote

Yieldmo, Inc. has an opening for a Senior Data Scientist in New York, NY.

The position duties are as follows: Responsible for developing optimization models to enhance the company’s marketplace and using statistical analysis, machine learning, Generative AI, and optimization techniques to help answer questions such as, what is the propensity for a buyer to purchase an ad impression, what price will the buyer pay for the ad impression, and how valuable is this ad opportunity. Serving on a team of data scientists and engineers that is focused on increasing yield to sellers on the marketplace while ensuring that buyers’ performance objectives are met. Using a cutting-edge cloud technology stack to work with a dataset comprising billions of daily records and petabytes of storage, and making hundreds of millions of predictions deployed to environments requiring milliseconds response times. Day-to-day job duties include:

• Collaborating with business, operations, product, and engineering teams across the organization to solve the customers’ problems using data science;
• Developing models that help predict the value of an ad impression on the company’s marketplace;
• Designing and implementing methodologies that improve the performance and scale of advertising campaigns;
• Performing large-scale data analysis and developing optimization algorithms;
• Carrying out predictive analytics and modeling;
• Utilizing AI and machine learning with high dimensionality; and
• Performing statistical data modeling and analysis.

The position requires a Master’s degree in Data Science, Computer Science, Engineering, Finance, Economics, Physics, Mathematics, a related field or foreign equivalent, followed by three (3) years of experience as a Data Scientist or in an equivalent role. In lieu of a Master’s Degree plus three (3) years of experience, employer will accept a Bachelor’s Degree in Data Science, Computer Science, Engineering, Finance, Economics, Physics, Mathematics, a related field or foreign equivalent, followed by five (5) years of progressively responsible experience as a data scientist or in an equivalent role. Experience must include:

1. 2 years of experience leading data science projects;
2. 2 years of experience applying modern machine learning algorithms to massive datasets (raw logs of 200-250 terabytes per day and tables ranging from hundreds of billions to trillions of rows) and creating measurable business value in an ad-tech, mar-tech, fintech, or e-commerce company;
3. 2 years of experience developing algorithms for optimization of programmatic digital ads, TV ads, financial transactions, or online user actions;
4. 2 years of experience in A/B testing in a production environment;
5. 3 years of experience developing working prototypes with proven impact on the business while being a key stakeholder to seeing they are properly implemented in a production environment;
6. 3 years of experience working in at least one programming language (Python, Tensorflow, Scikit, or Google Cloud’s Vertex AI) for data manipulation, analysis, and machine learning, as well as interacting with distributed computing resources;
7. 3 years of experience querying and manipulating data with SQL in an environment that leverages both AWS and GCP infrastructures that includes familiarity with Snowflake, MySQL, DynamoDB and BigQuery; and
8. 3 years of experience applying statistical methods to practical problems.

Role permits full-time telecommuting. Must be available during normal business hours U.S. ET.

Resumes to careers@yieldmo.com

Compensation Range: $235,000-$250,000

The Basics

We are seeking a seasoned Staff Data Scientist with a strong mathematical foundation to join Tanium’s AI team. Tanium is the first-mover in delivering on the promise of autonomous endpoint management (AEM). Powered by Tanium AI, AEM will deliver comprehensive, autonomous management of endpoints, including security, incident response, patching, change management, and performance monitoring capabilities. 

The Staff Data Scientist will work closely with cross-functional teams to lead the design, development, and deployment of advanced models that deliver autonomous action across Tanium’s suite of solutions. Particular focus will be on the development of the algorithms that serve as inputs AI results (e.g., confidence scoring).  

 What you’ll do

• Conduct research and analysis to identify data patterns and trends that can be leveraged for AI model development. 
• Design, develop, and implement machine learning algorithms and statistical models to power AI results and actions. 
• Ensure AI model development incorporates all necessary guardrails that always allows the user to be in control. 
• Lead testing processes to assess and continuously enhance AI performance.  
• Collaborate with cross-functional teams including software engineers, product managers, and data engineers to integrate AI solutions into our AEM capabilities. 
• Monitor and optimize AI models for performance, scalability, accuracy, and reliability in real-world applications. 
• Stay updated with the latest advancements in AI, machine learning, and related fields to drive innovation within the company. 

 We’re looking for someone with

•  Education
  • Bachelor's degree in Computer Science, Mathematics, Statistics, or related field(advanced degreepreferred) or equivalent work experience. 
• Experience and skills
  • Proven experience in a data scientist role (8+ years) with a track record of developing and deploying AI models in a production environment. 
  • Proficiency in programming languages for data analysis and machine learning. 
  • In-depth knowledge of mathematical concepts including linear algebra, calculus, probability, and statistics. 
  • Experience with machine learning frameworks 
  • Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment. 

About Tanium 

Tanium, the industry’s only provider of converged endpoint management (XEM), leads the paradigm shift in legacy approaches to managing complex security and technology environments. Only Tanium protects every team, endpoint, and workflow from cyber threats by integrating IT, Operations, Security, and Risk into a single platform that delivers comprehensive visibility across devices, a unified set of controls, and a common taxonomy for a single shared purpose: to protect critical information and infrastructure at scale. Tanium has been named to the Forbes Cloud 100 list for six consecutive years and ranks on Fortune’s list of the Best Large Workplaces in Technology. In fact, more than half of the Fortune 100 and the U.S. armed forces trust Tanium to protect people; defend data; secure systems; and see and control every endpoint, team, and workflow everywhere. That’s the power of certainty. Visit www.tanium.com and follow us on LinkedIn and Twitter.

On a mission. Together. 

At Tanium, we are stewards of a culture that emphasizes the importance of collaboration, respect, and diversity. In our pursuit of revolutionizing the way some of the largest enterprises and governments in the world solve their most difficult IT challenges, we are strengthened by our unique perspectives and by our collective actions.   

We are an organization with stakeholders around the world and it’s imperative that the diversity of our customers and communities is reflected internally in our team members. We strive to create a diverse and inclusive environment where everyone feels they have opportunities to succeed and grow because we know that only together can we do great things. 

Each of our team members has 5 days set aside as volunteer time off (VTO) to contribute to the communities they live in and give back to the causes they care about most.  

What you’ll get

The annual base salary range for this full-time position is $130,000 to $385,000. This range is an estimate for what Tanium will pay a new hire. The actual annual base salary offered may be adjusted based on a variety of factors, including but not limited to, location, education, skills, training, and experience.

In addition to an annual base salary, team members will receive equity awards and a generous benefits package consisting of medical, dental and vision plan, family planning benefits, health savings account, flexible spending account, transportation savings account, 401(k) retirement savings plan with company match, life, accident and disability coverage, business travel accident insurance, employee assistance programs, disability insurance, and other well-being benefits.

For more information on how Tanium processes your personal data, please see our Privacy Policy.

Let’s face it, a company whose mission is human transformation better have some fresh thinking about the employer/employee relationship.

We do. We can’t cram it all in here, but you’ll start noticing it from the first interview.

Even our candidate experience is different. And when you get an offer from us (and accept it), you get way more than a paycheck. You get a personal BetterUp Coach, a development plan, a trained and coached manager, the most amazing team you’ve ever met (yes, each with their own personal BetterUp Coach), and most importantly, work that matters.

This makes for a remarkably focused and fulfilling work experience. Frankly, it’s not for everyone. But for people with fire in their belly, it’s a game-changing, career-defining, soul-lifting move.

Join us and we promise you the most intense and fulfilling years of your career, doing life-changing work in a fun, inventive, soulful culture.

If that sounds exciting—and the job description below feels like a fit—we really should start talking. 

We are looking for an experienced Senior Product Data Scientist to join our team. At BetterUp we believe that data is critical to our success. If you are passionate about helping people reach their potential, thrive in a fast-paced startup environment where you get to build the future, and enjoy driving the business forward with data, then this is the role for you.

What you’ll do:

• Work with our Product squads to ensure they have the data to make better decisions faster.
• Drive the A/B testing program and experimental design within your product domain, optimizing for rapid learning. 
• Build and optimize customer retention, acquisition funnel, and pricing models.
• Partner closely with engineering, providing guidance on instrumentation design for new features and creating new datasets that delight our business users. 
• Own the product-related Explores and dashboards in Looker, ensuring the continued accuracy of the data and building new dimensions/measures as they are needed.
• Partner with the Product team to identify KPIs, build standardized reporting to monitor product ecosystem health, and contribute to business reviews. 
• Conduct data deep dives to better understand drivers of business performance and proactively identify new areas of opportunity and risk. Present results and recommendations to cross-functional partners and the Executive Team.
• Evangelize the strategic use of analytics, educating business partners on how to self serve and interpret data, and working with them to translate insights into action.
• Play an integral role in helping define the analytics function at BetterUp.
• Report to the Director of Product Analytics and be fully embedded in a product squad.

If you have some or all of the following, please apply:

• Previous product analytics and A/B testing experience required, ideally in direct to consumer, e-commerce, and/or subscription e-commerce.
• Experience with building and optimizing customer retention, acquisition funnel, and pricing models.
• Strong proficiency in SQL, Looker/Tableau, and Amplitude; Python / R a plus.
• Exceptional written and oral communication skills, with the ability to translate complex results into clear strategic recommendations.
• A self-starter that can jump right in and quickly add value.
• A demonstrated ability to think like an owner and make effective prioritization decisions in a dynamic environment.
• A strong desire to be a builder of something new.

Benefits:

At BetterUp, we are committed to living out our mission every day and that starts with providing benefits that allow our employees to care for themselves, support their families, and give back to their community. 

• Access to BetterUp coaching; one for you and one for a friend or family member 
• A competitive compensation plan with opportunity for advancement
• Medical, dental and vision insurance
• Flexible paid time off
• Per year: 
• All federal/statutory holidays observed
• 4 BetterUp Inner Work days (https://www.betterup.co/inner-work)
• 5 Volunteer Days to give back
• Learning and Development stipend
• Company wide Summer & Winter breaks 
• Year-round charitable contribution of your choice on behalf of BetterUp
• 401(k) self contribution

We are dedicated to building diverse teams that fuel an authentic workplace and sense of belonging for each and every employee. We know applying for a job can be intimidating, please don’t hesitate to reach out — we encourage everyone interested in joining us to apply.

BetterUp Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, disability, genetics, gender, sexual orientation, age, marital status, veteran status. In addition to federal law requirements, BetterUp Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

At BetterUp, we compensate our employees fairly for their work. Base salary is determined by job-related experience, education/training, residence location, as well as market indicators. The range below is representative of base salary only and does not include equity, sales bonus plans (when applicable) and benefits. This range may be modified in the future.

The base salary range for this role is $159,000 – $239,000.

Protecting your privacy and treating your personal information with care is very important to us, and central to the entire BetterUp family. By submitting your application, you acknowledge that your personal information will be processed in accordance with ourApplicant Privacy Notice. If you have any questions about the privacy of your personal information or your rights with regards to your personal information, please reach out tosupport@betterup.co

#LI-Remote

Overview

The Foundations data science team–a small group inside of Instacart data science–is growing! The team’s remit is to work in partnership with Engineering by developing the statistical methodologies that fuel the analytic tooling used throughout Instacart for product experimentation.  

About the Role -We are looking for a staff level data scientist with expertise in experimentation, adaptive experiments, and causal inference to join us. This role will have enormous influence in two ways: First, this individual will help devise and develop the underlying methodologies used in tools by product analysts, data scientists, and engineers throughout the company. Decisions about the business will be made using the very tooling and methodology that this individual creates. Second, the individual will have substantial exposure to c-level stakeholders where their expertise in developing experimental systems and interpreting experimental findings will be a sought after resource. 

About the Team -The Foundations data science team at Instacart is responsible for developing and innovating world-class experimentation tools and causal inference measurement systems for use at scale. The team looks to combine the best of academic and industry practices to ensure that business decisions are made with the most accurate, reliable information. In addition, this team frequently consults throughout the greater Data Science org at Instacart to help solve the toughest problems.  

About the Job 

• Extend our A/B testing capabilities through the use of techniques such as developing sequential design functionality, incorporating smoothing designs, fractional factorial designs, etc.
• Work closely with Engineering to advise how to apply scientifically rigorous methods that function at scale
• Contribute to our adaptive experimentation initiatives (e.g., bandits) by helping to devise the strategy and roadmap for what we should build and why
• Serve the greater DS community at Instacart by consulting on a wide variety of challenging statistical topics
• Develop statistical best practices and evangelize on behalf of them
  
  

About You

Minimum Qualifications

• This is a very senior level position with an expectation of at least 8 years work experience
• Substantial previous work experience (~3 years) building experimental tools at scale on a major app/platform
• Expert in experimentation and causal inference techniques
• Strong communication skills; public speaking and presentation skills are highly desirable
• Desire to code every day in SQL/R/python
• Previous experience with dbt is a nice-to-have
• MA required, Ph.D preferred

#LI-Remote

About the Role 

As a Staff Data Scientist on our Data Science team, you will be responsible for working on a wide range of data-related projects, from metric design and reporting, to analyses that drive business decisions across our company. You will have the opportunity to partner with stakeholders across our Engineering, Product, and Design teams, using data from across the entire Lattice spectrum to produce insights and recommendations on crucial business functions like product success metrics and the product roadmap.

What You Will Do

• Partner with the product team to build on their success metrics and inform their roadmapping decisions
• Collaborate with stakeholders across the business to create repeatable, standardized analytics that drive strategy and decision making processes
• Increase stakeholder use of data and data fluency through partnership and upskilling 
• Model first- and third-party data into analytics-ready tables that can be used across the business
• Advise the engineering, product, and design teams on event tracking, ensuring standardization across the Lattice platform and suite of products
• Conduct end-to-end projects to uncover insights and drive product engagement
• Own and collaborate on your own quarterly roadmap 
• Research and make recommendations on best practices for our data tech stack
• Partner with organizational leaders to impact Lattice’s strategy in the Talent space

What You Bring to the Table

• 5+ years of experience working in Data Science or Analytics, partnered with Product teams
• Experience at a B2B SaaS company
• Ability to distill ambiguous, open-ended questions into workable problems 
• A track record of collaboration with senior stakeholders 
• Deep expertise in facets of data science including but not limited to metric design, artificial intelligence, experimentation, and data analysis 
• History of successfully completing projects on time and within scope 
• Proven results designing metrics for cross-organization impact
• Self-starter who is excited by learning new technologies, getting your hands dirty, and creating scalable solutions 
• Deep knowledge of SQL
• Knowledge of Python
• Experience with a BI tool such as Looker
• Knowledge of dbt
• Experience in the performance management industry

The estimated annual cash salary for this role is $144,500 - $225,500. This position is also eligible for incentive stock options, subject to the terms of Lattice’s applicable plans.

Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: Medical insurance; Dental insurance; Vision insurance; Life, AD&D, and Disability Insurance; Emergency Weather Support; Wellness Apps; Paid Parental Leave, Paid Time off inclusive of holidays and sick time; Commuter & Parking Accounts; Lunches in the Office; Workplace Amenities Stipend, Internet and Phone Stipend; One time WFH Office Set-Up Stipend; 401(k) retirement plan; Financial Planning; Learning & Development Budget; Sabbatical Program; and Invest in Your People Fund

*Note on Pay Transparency:

Lattice provides an estimate of the compensation for roles that may be hired as required by state regulations. Compensation may vary based on (a) location, as Lattice factors in specific location when benchmarking compensation for most roles; (b) individual candidate skills and qualifications; and (c) individual candidate experience.

Additionally, Lattice leverages current market data to determine compensation, so posted compensation figures are subject to change as new market data becomes available. The salary, other compensation, and benefits information is accurate as of the date of this posting. Lattice reserves the right to modify this information at any time, subject to applicable law.

#LI-remote

Who We Are

The name ThousandEyes was born from two big ideas: the power to see things not ordinarily possible and the ability to collect insights from a multitude of vantage points. As organizations rely more on cloud services and the Internet, the network has become a black box they can't understand. Our Internet and cloud intelligence platform delivers the only collectively powered view of the Internet, cloud, and SaaS platforms, helping enterprises and service providers work together to identify problems before it impacts revenue, damages brand reputation, or halts employee productivity.

In August 2020, Cisco Systems completed the acquisition of ThousandEyes, which now forms the ThousandEyes Business Unit within Cisco’s Network Services Business Group and is a foundational component of Cisco’s growing Observability business.

About The Team

ThousandEyes is the industry leader In digital experience monitoring, delivering visibility into the entire digital delivery chain. Our innovative solutions empower organizations with actionable insights into network performance, application behavior, and user experience across cloud, Internet, and enterprise networks. 

The applied research team is at the forefront of digital experience monitoring innovation. Using our extensive and unmatched data, we craft and refine new algorithms to unlock a holistic and end-to-end view of digital experience.

About The Role

We are seeking a Principal AI/ML to join our applied research team. In your role within the team, you will lead the integration of AI and ML technologies into our solutions. You will work alongside top-class networking researchers and data scientists to design and prototype novel solutions and help drive the evolution of intelligent networking products. Collaborating closely with top-tier engineering and product teams, you will then take your pioneering ideas from prototypes to full-scale production

Qualifications

• Master’s or Ph.D. in Computer Science, Electrical Engineering, or related field
• Strong background in artificial intelligence, machine learning, and deep learning techniques
• Minimum of 3 years of hands-on experience developing innovative products utilizing AI/ML technologies (including scaling and deploying Machine Learning models)
• Experience with data preprocessing, feature engineering, and model evaluation
• Statistical and time series analysis expertise
• Strong programming skills, especially Python
• Proficiency in machine learning libraries and frameworks (TensorFlow, PyTorch, etc.)
• Experience with cloud computing platforms for deploying ML models (AWS, Azure, etc.)
• Proficiency in working with large-scale datasets (Spark, Hadoop, etc.) and uncovering insights

A plus if you have

• Knowledge of networking protocols (e.g., TCP/IP, UDP, DNS) and network architecture
• Proven industry experience applying AI/ML in networking products

Cisco values the perspectives and skills that emerge from employees with diverse backgrounds. That's why Cisco is expanding the boundaries of discovering top talent by not only focusing on candidates with educational degrees and experience but also placing more emphasis on unlocking potential. We believe that everyone has something to offer and that diverse teams are better equipped to solve problems, innovate, and create a positive impact.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification. Research shows that people from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy. We urge you not to prematurely exclude yourself and to apply if you're interested in this work.

Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records. 

US – COMPENSATION RANGE – MESSAGE TO APPLICANTS

173400 USD - 322100  USD

Message to applicants applying to work in the U.S.:

When available, the salary range posted for this position reflects the projected hiring range for new hire, full-time salaries in U.S. locations, not including equity or benefits. For non-sales roles the hiring ranges reflect base salary only; employees are also eligible to receive annual bonuses. Hiring ranges for sales positions include base and incentive compensation target. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications, or training. Applicants may not be eligible for the full salary range based on their U.S. hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process.

U.S. employees have access to quality medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, short and long-term disability coverage, basic life insurance and numerous wellbeing offerings. Employees receive up to twelve paid holidays per calendar year, which includes one floating holiday, plus a day off for their birthday. Employees accrue up to 20 days of Paid Time Off (PTO) each year and have access to paid time away to deal with critical or emergency issues without tapping into their PTO. We offer additional paid time to volunteer and give back to the community. Employees are also able to purchase company stock through our Employee Stock Purchase Program.

Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components. For quota-based incentive pay, Cisco pays at the standard rate of 1% of incentive target for each 1% revenue attainment against the quota up to 100%. Once performance exceeds 100% quota attainment, incentive rates may increase up to five times the standard rate with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.

About the role:

This Senior Data Scientist will measure, evaluate, and conduct measurements on our AI/ML systems. As a Senior Data Scientist, you will partner with ML scientists and engineers to develop methodologies to measure and evaluate our production models, conduct experiments to understand how new models compare to old ones and contribute to data-driven product development. You will work with other data-minded individuals to bring cutting-edge AI to our customers.

This role can be fully remote in Canada.

You should apply if:

• You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
• You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations.
• You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go.
• You believe customers are more than a number:Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes.
• You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we’re all racing toward our connected operations vision, and we intend to win—together.

Click hereto learn about what we value at Samsara. 

In this role, you will: 

• Develop metrics and methods to understand and develop our AI/ML systems.
• Run experiments and causal analyses to evaluate and launch new AI/ML features.
• Build relationships with technical and non-technical stakeholders to understand data structures and business priorities.
• Leverage technologies like SQL, Python, and/or R to shape and analyze data.
• Build a strong sense of product and data acumen (e.g. customer experience, data logging).
• Stay connected to industry and academic research and adopt novel technology that suits Samsara’s needs.
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.