Data Scientist, Discovery Ecosystem

 Whatnot

Whatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love. We’re building the future of ecommerce, bringing together community, shopping and entertainment. We are committed to our values, and as a remote co-located team, we operate out of hubs within the US, UK, Ireland, Poland, and Germany today.

We’re innovating in the fast-paced world of live auctions from fashion, beauty, electronics to collectibles like trading cards, comic books, and even live plants. Whatnot has something for everyone.

And, we’re growing. Whatnot has been one of the fastest growing marketplaces and we’re hiring forward-thinking problem solvers across all functional areas.

💻 Role

We’re looking for an experienced Data Scientist to partner with Product Engineering teams responsible for improving the discovery of live streaming content, product listings, seller stores and more. 

You will:

• Partner closely with leads across Discovery, Search, Ads and Community teams to find improvements & opportunities using data science methodologies and tools.
• Inform how to balance the needs across buyer demand, seller supply, launching new product categories and international markets.
• Build actionable KPIs linking Northstar metrics to day-to-day operations.
• Create production-quality dashboards and notebooks to convey insights for strategy and opportunities.
• Improve engineering roadmaps through analysis of marketplace, user behavior, and industry trends.
• Guide, oversee and improve experimentation practices to make decisions whether to rollout or rollback features.
• Define and advance company best practices within a data-informed culture.

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

👋 About You

We are looking for intellectually curious, highly motivated individuals to be foundational members of our Data team! You will partner with Product Engineering teams across Discovery, Search, Ads and Community domains to identify critical goals for the business, develop a deep understanding of them, and design scalable solutions enabled by both analysis and self-serve methodologies.

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 will be adept in navigating the data stack and able to support initiatives in all facets from metric creation to analytics engineering to basic modeling, ideally with previous experience in recommendation and relevance systems..

In addition to 5+ years of experience in the Data field, you should have:

• 3+ years of experience in Data Analytics & Science supporting search and discovery systems.
• Bachelor’s degree in Computer Science, Economics, Statistics, or a related field, or equivalent work experience. 
• Excellent verbal communications, including the ability to clearly and concisely articulate complex concepts to both technical and non-technical collaborators.
• Industry experience with proven ability to apply scientific methods to solve real-world problems on large scale data.
• Ability to lead initiatives across multiple product areas and communicate findings with leadership and product teams.
• Comfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto/Trino, Athena, Spark, DBT.
• Expert in using SQL for data analysis, reporting, and dashboarding.
• Experience with a scripting language such as Python or R.
• Aptitude in goal setting, driver and cohort analysis.
• Firm grasp of visualization tools, interactive and self-serving, such as business intelligence and notebooks.

💰Compensation

$180,000 - $275,000/year + benefits + equity

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.

🎁  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
• $1,000 home office setup allowance
• $150 monthly allowance for cell phone and internet
• Care benefits
• $450 monthly allowance on food
• $500 monthly allowance for wellness
• $5,000 annual allowance towards Childcare
• $20,000 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
• 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.

Last updated on Aug 11, 2024