Data Scientist II

About Us:

6sense is a Predictive Intelligence Engine that is reimagining how B2B companies do sales and marketing. It uses big data at scale, advanced machine learning and predictive modelling to find buyers and predict what they will purchase, when and how much.

6sense helps B2B marketing and sales organizations fully understand the complex ABM buyer journey. By combining intent signals from every channel with the industry’s most advanced AI predictive capabilities, it is finally possible to predict account demand and optimize demand generation in an ABM world. Equipped with the power of AI and the 6sense Demand PlatformTM, marketing and sales professionals can uncover, prioritize, and engage buyers to drive more revenue.

We’ve more than doubled our revenue in the past five years and completed our Series E funding of $200M last year, giving us a stable foundation for growth.

Recent articles:

https://www.businesswire.com/news/home/20230815281505/en/6sense-Ranks-Number-763-on-The-Inc.-5000-the-Annual-Ranking-of-the-Fastest-Growing-Companies-in-America

https://martechseries.com/predictive-ai/ai-platforms-machine-learning/6sense-continues-to-lead-the-way-in-b2b-marketing-and-sales-with-seventh-consecutive-g2-leader-recognition/

https://www.businesswire.com/news/home/20230809060528/en/6sense-Named-to-the-2023-Forbes-Cloud-100

Purpose of the Job:

Data Scientist II leverages analytical and modelling skills to derive actionable insights from data, develop and evaluate models, and deploy AI solutions. The role focuses on fostering innovation, ensuring ethical data handling, and aligning with the product vision, ultimately contributing to data-driven decision-making, and enhancing stakeholder engagement. Effective collaboration within the team is vital for achieving these objectives.

Responsibilities & Accountabilities:

Understand AI concepts and apply them to solve business problems, identifying key stakeholders and relevant data sources. Evaluate and select basic algorithms and data sets for AI solutions, following established development practices and procedures.

Demonstrate strong proficiency in SQL and data manipulation tools, effectively working with larger and complex data sets.Apply statistical methods, machine learning algorithms, and data visualization techniques to

perform exploratory data analysis and derive key insights.

Build models using statistical software like R or Python and interpret existing models by experienced data scientists.

Apply data pre-processing techniques and utilize data visualization to interpret and communicate model outputs effectively.

Write well-documented, clean code with appropriate comments, adhering to best practices, and execute and document comprehensive test cases for AI modules and pipelines.

Apply data science concepts to align with product development, considering user needs and effectively communicating insights to stakeholders.

Recognize areas of improvement in existing data solutions, seek guidance, and contribute to new ideas through active participation in discussions.

Adhere to ethical guidelines and comply with industry standards in data handling and privacy.

Collaborate effectively within a team, understand stakeholder goals, and engage in productive communication, aligning with project and product objectives.

Evaluate existing models and suggest enhancements for better performance.

Integrate AI models into applications and workflows, ensuring effective deployment.

Educational and Experience Requirements:

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

Minimum of 2 years of hands-on experience in data analysis, modeling, and AI solutions development.

Proficiency in handling and analyzing large, complex datasets using SQL and data manipulation tools.

Demonstrated expertise in implementing machine learning models and algorithms,

including regression, classification, and other advanced techniques.Strong programming skills in Python or R, showcasing the ability to write efficient, well- documented code.

Experience in utilizing data visualization techniques to interpret model outputs and communicate insights effectively.

Deploy AI solutions, integrate models into applications, and understand cloud platforms for deployment.

Proven ability to collaborate within a team, effectively communicate insights to stakeholders and work cohesively in a professional setting.

Demonstrated willingness to learn, adapt to new technologies and methodologies, and contribute to innovative ideas and approaches.

Adherence to ethical guidelines and best practices in data handling and privacy compliance.

Understanding of integrating data science concepts into product development and considering user needs for product enhancement.

Ability to analyze problems, make data-driven decisions, and optimize solutions to address business challenges.

Clover is reinventing healthcare by working to keep people healthier.

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 Senior Data Scientist to help us build a revolutionary new healthcare company.

As a Senior Data Scientist, you will:

• Lead large-scale projects from ideation through delivering enterprise value.
• Have a broad problem-solving toolkit and know how to apply it. When problems call for out-of-the-box solutions, you will apply them effectively. When problems call for boutique solutions, you can evaluate the trade-offs and choose a solution that maximizes velocity.
• Implement broad solutions that are bug-free and well-tested. Where possible, your work reduces complexity rather than adding it.
• Understand the problems faced by the business and deliver results that meaningfully solve some of these problems.
• Proactively engage with stakeholders across all levels of Clover to understand needs.
• Uncover and mitigate risks and assumptions that may prove to be intractable later.
• Serve as a trusted advisor and thought partner and ensure that projects are delivered on time and to spec. Within the team, serve as a mentor and collaborator, improving peers’ ability to deliver.

You will love this job if:

• You want to create impactwith your work by finding insights in the data that unlock value and improve outcomes.
• 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 an advanced degree in a quantitative field, especially dealing with complex data-driven results, or equivalent experience, with a minimum of a Master's degree plus 3+ years of relevant work experience or Ph.D. with 2+ years of relevant experience.
• 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 using data science to deliver clear enterprise value in a business function.
• Are comfortable leading and have successfully led a large-scale project from opportunity identification to business value.
• Are able to improve the work of those around you via direct mentorship, code review, informal conversations, and leadership by example.
• Can clearly articulate how your work accrues to business value and can contextualize that value with respect to top-level business objectives.

About Clover: We are reinventing health insurance by combining the power of data with human empathy to keep our members healthier. We believe the healthcare system is broken, so we've created custom software and analytics to empower our clinical staff to intervene and provide personalized care to the people who need it most.

We always put our members first, and our success as a team is measured by the quality of life of the people we serve. Those who work at Clover are passionate and mission-driven individuals with diverse areas of expertise, working together to solve the most complicated problem in the world: healthcare.

From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility.

#LI-REMOTE

Department:Data Science

Who are Tide:

At Tide, we’re on a mission to save businesses time and money. We’re the leading provider of UK SME business accounts and one of the fastest-growing FinTechs in the UK. Using the latest tech, we design solutions with SMEs in mind and our member-driven financial platform is  transforming the business banking market. Not only do we offer our members business accounts and related banking services, but also a comprehensive set of highly connected admin tools for businesses. 

Tide is about doing what you love. We’re looking for someone tojoin us on our exciting scale up journey and be a part of something special. We are wanting passionate Tideans to drive innovation and help build a best-in-class platform to support our members. You will be comfortable in ambiguous situations and will be able to navigate the evolving FinTech environment. Imagine shaping how millions of Tide members discover and engage with business banking platforms and building this on a global scale. 

What we’re looking for:

Seasoned Lead Data Scientist that can build and embed intelligence into the products that deliver significant business value to Partnership credit services business vertical of Tide

As the Lead Data Scientist you’ll be:

• Work closely with our Partnership Credit Services team in order to solve business problems that drive effective decisions for the business. This would be in areas of Lender Behaviour, Lead Priority Engine and Intelligence to match Lenders with Prospective Members 
• Come up with High level road map for Data Science initiatives that can aid decisioning and improve Business Performance
• Understand business requirements and solutionize data products in order to solve them
• Identify creative solutions in order to build relevant training data sets
• Train models and optimize hyperparameters
• Work closely with our machine learn engineers and data engineers in order to productionize models
• Come up with adoption of newer methods and methodologies 
• Coach junior data scientists on best practices

What makes you a great fit:

• You have 7+ years of experience in Software development or Machine Learning. Strong in Python
• You have extensive experience working within financial services, especially Credit Services but not mandatory
• You have extensive experience with Machine Learning tools - scikit-learn , TensorFlow, Keras or PyTorch
• You have experience with big-data technologies such as Spark, SparkML, Hadoop etc. Strong knowledge of Cloud (AWS or other).
• You have excellent leadership skills - you have managed a team of data scientists before and coached them to become better versions of themselves
• You have excellent business acumen, you manage to translate business problems into data products 
• You have excellent communication skills including the ability to explain statistical concepts and technical tradeoffs to business users
• You have experience in training, optimising and deploying a variety of ML-algorithms, such as logistic regressions, boosted trees and neural networks
• You’re a self-starter - you take initiative in spotting opportunities and finding ways to solve challenges with data
• Ability to deal with ambiguity and competing objectives in a fast paced environment
• Experience working in agile teams
• Familiarity with basic data table operations (SQL etc.), data transform in warehouse (dbt etc.) and business intelligence softwares (eg. Looker)
• Familiarity with model observability and explainability at scale

What you’ll get in return: 

Make work, work for you! We are embracing new ways of working and support flexible working arrangements. With our Working Out of Office (WOO) policy our colleagues can work remotely from home or anywhere in their assigned Indian state. Additionally, you can work from a different country or Indian state for 90 days of the year. Plus, you’ll get:

• Competitive salary
• Self & Family Health Insurance
• Term & Life Insurance
• OPD Benefits
• Mental wellbeing through Plumm
• Learning & Development Budget
• WFH Setup allowance
• 15 days of Privilege leaves
• 12 days of Casual leaves
• 12 days of Sick leaves
• 3 paid days off for volunteering or L&D activities
• Stock Options

Tidean Ways of Working 

At Tide, we’re Member First and Data Driven, but above all, we’re One Team. Our Working Out of Office (WOO) policy allows you to work from anywhere in the world for up to 90 days a year. We are remote first, but when you do want to meet new people, collaborate with your team or simply hang out with your colleagues, our offices are always available and equipped to the highest standard. We offer flexible working hours and trust our employees to do their work well, at times that suit them and their team.

Tide is a place for everyone

At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of theirethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity status or disability status. We believe it’s what makes us awesome at solving problems!We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard.  

#LI-NN1 #LI-Remote

About the Company

Gemini is a global crypto and Web3 platform founded by Tyler Winklevoss and Cameron Winklevoss in 2014. Gemini offers a wide range of crypto products and services for individuals and institutions in over 70 countries.

Crypto is about giving you greater choice, independence, and opportunity. We are here to help you on your journey. We build crypto products that are simple, elegant, and secure. Whether you are an individual or an institution, we help you buy, sell, and store your bitcoin and cryptocurrency. 

At Gemini, our mission is to unlock the next era of financial, creative, and personal freedom.

In the United States, we have a flexible hybrid work policy for employees who live within 30 miles of our office headquartered in New York City and our office in Seattle. Employees within the New York and Seattle metropolitan areas are expected to work from the designated office twice a week, unless there is a job-specific requirement to be in the office every workday. Employees outside of these areas are considered part of our remote-first workforce. We believe our hybrid approach for those near our NYC and Seattle offices increases productivity through more in-person collaboration where possible.

The Department: Service Fundamentals (Trust & Safety)

Trust & Safety at Gemini is a team dedicated to stopping bad actors, securing our user’s funds and ensuring the integrity of Gemini’s digital asset marketplace. We are a diverse group of technology, data, and operational professionals who develop new approaches to solving classic problems using cutting edge tools and processes. Data is central to all of our business functions and drive many of our most important decisions at Gemini. As a result, the data analysts and scientists, operations associates and engineers that make up the Trust & Safety team are uniquely positioned to advise and influence cross-functional projects. These projects cover a wide-range of topics including fiat returns, identifying low quality and fraudulent users, and using on-chain information to support fraud detection.

The Role: Data Scientist

As a member of our Trust & Safety data science team, you’ll shape the way we approach data at Gemini by using your analytical and communication skills to work with teams across the business. You will focus on customer onboarding, transactions, and payment strategies to lower payment return rates and identify and off-board bad actors from Gemini, as well as manage ad-hoc requests from cross-functional teams. You know how to ask the right questions and are passionate about using data to support and drive informed business decisions. You are ready to roll up your sleeves and are excited to take on challenging opportunities and projects. You’ll work with other data scientists, analysts, engineers, and fraud operators to guide strategies and achieve KPIs while communicating your insights with leaders across the organization.

Responsibilities:

• Identify, monitor, and mitigate fraud activity
• Develop and implement high precision fraud prevention controls
• Process, clean, and visualize data from complex databases and create top-notch reporting solutions
• Partner with product managers, engineers, fraud operations, and other functions to drive insights for the Trust and Safety team
• Design experimentation frameworks such as decision trees and A/B test models,  identify leading indicators of fraud losses, and develop strategies to improve fraud capture rates 
• Design, build and enhance dimensional models for BI solutions
• Perform root cause analysis and resolve production and data issues
• Create test plans, test scripts, and perform data validation
• Tune SQL queries, reports, and ETL pipelines
• Build and maintain data dictionary and process documentation
• Research new tools and technologies to improve existing processes

Minimum Qualifications:

• 4+ years experience in data analytics, strategy analytics or modeling role
• 4+ years experience developing a BI applications (Tableau/Looker/Power BI, etc)  
• Advanced skills with SQL are a must
• Proficient in Python
• Experience with one or more MPP databases (Redshift, Bigquery, Snowflake, etc)
• Experience with one or more ETL tools (Informatica, Pentaho, SSIS, etc) 
• Experienced in working collaboratively across different teams and departments
• Strong technical and business communication
• This role may require on-call rotations

Preferred Qualifications:

• Proficient in Developing LookML
• Knowledge and experience of financial markets, banking or exchanges
• Experience working in small firms or start up technology first

• Competitive starting salary
• A discretionary annual bonus
• Long-term incentive in the form of a new hire equity grant
• Comprehensive health plans
• 401K with company matching
• Paid Parental Leave
• Flexible time off

Salary Range: The base salary range for this role is between $120,000 - $150,000 in the State of New York, the State of California and the State of Washington. This range is not inclusive of our discretionary bonus or equity package. When determining a candidate’s compensation, we consider a number of factors including skillset, experience, job scope, and current market data.

At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace. If you have a specific need that requires accommodation, please let a member of the People Team know.

#LI-REMOTE

#LI-AH1

Classy, an affiliate of GoFundMe, is a Public Benefit Corporation and giving platform that enables nonprofits to connect supporters with the causes they care about. Classy's platform provides powerful and intuitive fundraising tools to convert and retain donors. Since 2011, Classy has helped nonprofits mobilize and empower the world for good by helping them raise over $5 billion. Classy also hosts the Collaborative conference and the Classy Awards to spotlight the innovative work nonprofits are implementing around the globe. For more information, visit www.classy.org.

About the role:

Join us! The Classy team is searching for our next Staff Data Scientist to bolster our product analytics efforts and elevate our data science operations across the organization. You will collaborate with an accomplished team of individuals to drive impact for our users and our business.

What you’ll accomplish:

• Lead the design, analysis, and interpretation of projects from data requirement gathering to data processing, modeling, and recommendations for various departments across the company
• Drive A/B testing through the entire experimentation life cycle, including inception, creation, measurement, and recommendations.
• Develop dashboards and perform ad hoc analysis
• Collaborate with product leadership to develop and monitor KPIs and present emerging trends and actionable insights
• Act as technical leader on the team - identify and disseminate best practices across team in terms of tools, systems, and processes
• Partner cross-functionally to identify new analytical opportunities
• Collaborate with data and engineering teams to design scalable and future-proof instrumentation
• Contribute to ELT processes as needed

What you bring (Required):

• 7+years of experience building data analytics and science projects
• Experience with a broad set of statistical and machine learning methods to solve and optimize critical business problems and metrics
• Expertise in formulating and driving multivariate and A/B testing
• Advanced experience using Python or R to perform statistical analysis, predictive analytics, and/or machine learning
• Deep experience with SQL for writing scalable data transformations
• Data visualization skills and experience with BI tools (Tableau/Looker)
• Able to organize, prioritize and assist with business requests with adequate scoping and stakeholder expectation setting 
• Strong presentation skills, being able to author and present insights to the leadership team, and influence decision makers
• Knowledge of event tracking, database architecture, Machine Learning is a plus
• Master's degree in a quantitative field is preferred (Mathematics, Physics, Economics, Engineering or related areas)

Why you’ll love it here: 

• Market competitive pay
• Rich healthcare benefits including employer paid premiums for medical/dental/vision (100% for employee only plans and 85% for employee + dependent plans) and employer HSA contributions. 
• 401(k) retirement plan with company matching
• Hybrid workplace with fully remote flexibility for many roles
• Monetary support for new hire setup, hybrid work & wellbeing, family planning, and commuting expenses
• A variety of mental and wellness programs to support employees   
• Generous paid parental leave and family planning stipend
• Supportive time off policies including vacation, sick/mental health days, volunteer days, company holidays, and a floating holiday
• Learning & development and recognition programs
• Gives Back Program where employees can nominate a fundraiser every month for a donation from the company
• Inclusion, diversity, equity, and belonging are vital to our priorities and we continue to evolve our strategy to ensure DEI is embedded in all processes and programs at GoFundMe. Our Diversity, Equity, and Inclusion team is always finding new ways for our company to uphold and represent the experiences of all of the people in our organization.
• Employee resource groups
• Your work has a real purpose and will help change lives on a global scale.
• You’ll be a part of a fun, supportive team that works hard and celebrates accomplishments together. 
• We live by our core values: consider everything, do the right thing, spread empathy, delight the customer, and give back.
• We are a certified Great Place to Work, are growing fast and have incredible opportunities ahead!
• Our commitment to Sustainability. Classy exists to create a sustainable world for all. 

Dedication to Diversity 

Classy is working toward building a more diverse and inclusive environment that is representative of individuals of all backgrounds, experiences, and lifestyles, allowing all employees to feel comfortable being their true, authentic selves in a space that enables productivity and meaningful work.

The total annual salary for this full-time position is $135,000 - $180,000 + equity + benefits.  As this is a remote position, the salary range was determined by role, level, and possible location across the US. Individual pay is determined by work location and additional factors including job-related skills, experience, and relevant education or training. 

Your recruiter can share more about the specific salary range based on your location during the hiring process. 

If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at accommodationrequests@gofundme.com.

Global Data Privacy Notice for Job Candidates and Applicants:

Depending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required.

Learn more about GoFundMe:

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