Whatnot Whatnot is a livestream shopping platform and marketplace backed by Andreessen Horowitz, Y Combinator, and CapitalG. We're building the future of ecommerce, bringing together community, shopping and entertainment. We are committed to our values, and as a remote-first team, we operate out of hubs within the US, Canada, UK, Ireland, and Germany today. We're innovating in the fast-paced world of live auctions in categories including sports, fashion, video games, and streetwear. The platform couples rigorous seller vetting with a focus on community to create a welcoming space for buyers and sellers to share their passions with others. And, we're growing. Whatnot has been the fastest growing marketplace in the US over the past two years and we're hiring forward-thinking problem solvers across all functional areas.
Role
Partner closely across the business to find improvements/opportunities and influence decisions using data science methodologies and tools
Build actionable KPIs, create production-quality dashboards and notebooks to convey insights
Define and advance best practices within an experiment-driven culture
Inform product engineering roadmap through analysis of marketplace, user behavior, and product trends
About 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, Finance and Operations teams to identify critical goals for the business, develop a deep understanding of them, and design scalable solutions. 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 analytics/data engineering and product analytics to machine learning. In addition to 6+ years of experience in the Data Analytics field, you should have:
Excellent verbal communications, including the ability to clearly and concisely articulate complex concepts to both technical and non-technical collaborators
Bachelor's degree in Computer Science, a related field, or equivalent work experience.
Demonstrated history of knowledge in Business Analysis, Statistics, Mathematics, Economics or related technical fields
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, Athena, 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
Firm grasp of visualization tools, interactive and self-serving, such as business intelligence and notebooks
Compensation For US-based applicants:$180,000 - $275,000/year + benefits + stock options 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 $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.
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Whatnot Whatnot is a livestream shopping platform and marketplace. We're building the future of ecommerce, bringing together community, shopping and entertainment. We are committed to our values, and as a remote-first team, we operate out of hubs within the US, Canada, UK, Ireland, and Germany today. We're innovating in the fast-paced world of live auctions in categories including sports, fashion, video games, and streetwear. The platform couples rigorous seller vetting with a focus on community to create a welcoming space for buyers and sellers to share their passions with others. And, we're growing. Whatnot has been the fastest growing marketplace in the US over the past two years and we're hiring forward-thinking problem solvers across all functional areas. Role We're looking for an experienced Data Scientist to support our Go To Market teams as they expand across product categories and geographic markets. This individual will partner with the groups responsible for scaling Whatnot's account management and marketing efforts, looking across multiple factors including supply growth, marketing, logistics, and more. You will: <ul><li>Partner closely with GTM and International leads to find improvements & opportunities using data science methodologies and tools.</li><li>Inform the effectiveness of GTM motions to adapt Whatnot's strategy and tactics for new markets.</li><li>Build actionable KPIs, create production-quality dashboards and notebooks to convey insights for strategy and operations</li><li>Improve roadmaps through analysis of marketplace, user behavior, and industry trends.</li><li>Define and advance company best practices within a data-informed culture.</li></ul> About You We are looking for intellectually curious, highly motivated individuals to be foundational members of our Data team! You will partner with our Category Expansion, Marketing, and Strategy & Operations teams 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 forecasting, ideally with previous experience in GTM, marketing, or other high-growth startup environments. In addition to 5+ years of experience in the Data field, you should have: <ul><li>3+ years of experience in Data Analytics & Science supporting go to market, sales operations, marketing, or consulting/operations roles.</li><li>Bachelor's degree in Computer Science, Economics, Statistics, or a related field, or equivalent work experience. </li><li>Excellent verbal communications, including the ability to clearly and concisely articulate complex concepts to both technical and non-technical collaborators.</li><li>Industry experience with proven ability to apply scientific methods to solve real-world problems on large scale data.</li><li>Ability to lead initiatives across multiple product areas and communicate findings with leadership and product teams.</li><li>Comfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto/Trino, Athena, Spark, DBT.</li><li>Expert in using SQL for data analysis, reporting, and dashboarding.</li><li>Experience with a scripting language such as Python or R.</li><li>Aptitude in time series forecasting, goal setting, and cohort analysis.</li><li>Aptitude in industry standard sales team tooling such as Salesforce, Hubspot</li><li>Firm grasp of visualization tools, interactive and self-serving, such as business intelligence and notebooks.</li></ul>Compensation For US-based applicants:$180,000 - $275,000/year + benefits + stock options 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 <ul><li>Flexible Time off Policy and Company-wide Holidays (including a spring and winter break)</li><li>Health Insurance options including Medical, Dental, Vision</li><li>Work From Home Support</li><ul><li>$1,000 home office setup allowance</li><li>$150 monthly allowance for cell phone and internet</li></ul><li>Care benefits</li><ul><li>$450 monthly allowance on food</li><li>$500 monthly allowance for wellness</li><li>$5,000 annual allowance towards Childcare</li><li>$20,000 lifetime benefit for family planning, such as adoption or fertility expenses</li></ul><li>Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally</li><li>Parental Leave</li><ul><li>16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.</li></ul></ul> 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.

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