Data Scientist - Product Analytics

🚀 Join the Future of Commerce with Whatnot! 

Whatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love. We’re re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, we’re inspired by innovation and anchored in our values. With hubs in the US, UK, Ireland, Poland, and Germany, we’re building the future of online marketplaces—together.

From fashion, beauty, and electronics to rare collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone.

And we’re just getting started! As one of the fastest growing marketplaces, we’re looking for bold, forward-thinking problem solvers across all functional areas. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business, and bring people together through commerce.

💻 Role

Data Scientists at Whatnot bring technical expertise, analytical mindset and strong communication skills to solve problems and identify opportunities critical to the growth of Whatnot.They are active in the decision making process to align on business goals, analyze our data using appropriate techniques, identify opportunities and proactively communicate them across the organization. This role is part of the day-to-day and strategic future of the organization and you will play an active role in the decisions and direction of the domains you support.

You will:

• Define and own the KPIs that measure your domain of focus, which is prioritized based on a mixture of business need, personal experience and skill set
• Analyze business trends and key metrics to create actionable insights that drive growth, improve the experience of our community and enhance profitability.
• Partner closely across the business to find improvements/opportunities and influence decisions using data science methodologies and tools.
• Use our modern data stack to build data products and create production-quality dashboards to convey insights.
• Be active and embedded with cross-functional teams and partners. Listen to their issues, work as peers to identify the right problems and best solutions, and make data and analytics accessible to them.
• Define and advance the best practices for analytics, especially in your domain, to maximize user adoption and team effectiveness.
• Leverage experimentation, causal inference, and other statistical techniques to analyze problems in a complex ecosystem and forecast future needs of the company.
• Maintain existing measures and dashboards while bringing a continuous improvement approach to regularly evaluate the tools, methods and metrics we use in our analysis. 
• Inform the engineering, operations, and machine learning roadmaps through analysis of marketplace, user behavior, and product trends.

Team members in this role are required to be within commuting distance of our San Francisco, Los Angeles, Seattle, or New York City hub.

👋 You

We are looking for intellectually curious, highly motivated individuals to be foundational members of our Data team! You will partner with our Engineering, Product, and Operations teams to systematically detect, measure, and action against fraud and other threats to Whatnot’s platform.

You should have strong critical thinking and analytical skills, excellent communication abilities, and a knack for working across teams in a fast-paced environment. The ideal candidate must be adept in navigating the data stack and able to support initiatives in all facets from analytics/data engineering and product analytics to machine learning, ideally with previous experience in a role working directly with cross-functional stakeholders.

In addition to 3+ years of experience in the Data field, you should have:

• Excellent verbal and writing communications, including the ability to clearly and concisely articulate complex concepts to both technical and non-technical collaborators
• Firm grasp of visualization tools, interactive and self-serving, such as business intelligence and notebooks
• Technical experience with proven ability to apply scientific methods to solve real-world problems on large scale data.
• Experience working in any combination of the following: fast growing start up, marketplaces, e-commerce, modern tech company that rapidly ingests large volumes of data and uses for operational and analytical purposes
• Ability to lead work in diverse business domains and communicate findings with leadership and product teams
• Comfortability with data warehouses and big data technologies such as Snowflake, Big Query, Red Shift, Spark, DBT
• Expert in using SQL for data analysis, reporting, and dashboarding
• Experience with a scripting language such as Python or R 
• Aptitude and experience in applied statistical modeling and machine learning techniques
• Bachelor’s degree in Computer Science, Economics, Statistics, or a related field, or equivalent work experience. 

💰Compensation

For US-based applicants: $158,000 - $205,000/year + benefits + restricted stock units

The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity in the form of stock options.

🎁  Benefits

• Flexible Time off Policy and Company-wide Holidays (including a spring and winter break)
• Health Insurance options including Medical, Dental, Vision
• Work From Home Support
• Home office setup allowance
• Monthly allowance for cell phone and internet
• Care benefits
• Monthly allowance on both food and wellness
• Annual allowance towards Childcare
• Lifetime benefit for family planning, such as adoption or fertility expenses
• Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
• Monthly allowance to dogfood the app
• Parental Leave
• 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.

💛  EOE

Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.