Data Scientist, Whatnot
Product Analytics
$158-205k
+ Restricted stock units
Live stream platform & marketplace for collectibles
Job no longer available
Live stream platform & marketplace for collectibles
501-1000 employees
Job no longer available
$158-205k
+ Restricted stock units
501-1000 employees
Company mission
Whatnot missions is to enable anyone to turn their passion into a business and bring people together through commerce.
Role
Who you are
- 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
What the job involves
- 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
- 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
Our take
The collectible toy market is large, and Whatnot has built a unique social platform that enables sellers to use livestreams to showcase their products and reach more buyers. The company’s focus is on collectible toys, some of which are rare and can cost thousands of dollars, and has also expanded to sports cards.
The idea of Whatnot was led by buyer trends. Instagram's live feature became a popular place for selling toys and trading cards, but of course was not set up to facilitate bidding or handling payments after a sale occurs. Whatnot combines live showcasing with follow-up sale capabilities, thus serving the community in a more novel way than established collectibles market players such as eBay.
The company has grown fast. It was established in 2019 and has already expanded from its original category - Funko Pop figurines - to Pokemon cards, pins, sports cards, and many more. There is still plenty of scope for expanding into new categories, as the company aims to establish itself as the go-to for this large niche, which will be facilitated by the strong levels of funding that Whatnot has raised.
Steph
Company Specialist at Welcome to the Jungle
Insights
54% employee growth in 12 months
Company
Employee endorsements
Hard working team
"Everyone here puts in the work. It's refreshing to work on a team where everyone is carrying their weight and lifting each other up. The work ethic..."
Funding (last 2 of 7 rounds)
Jan 2025
$265m
SERIES E
Jul 2022
$260m
SERIES D
Total funding: $749.2m
Company benefits
- Wellness: Health, dental, vision, and life insurance plans. We also cover some of the cost for your dependents as well.
- Compensation: Full-time Whatnauts receive equity, a WFH stipend to support your remote workspace and a monthly stipend to dogfood the app.
- Recharge: Flexible Time Off policy, holiday week off at the end of year, and paid parental leave after 1 year with us.
- Flexibility: Remote-first work culture. We provide a working environment where you're in charge of your time and schedule.
Company values
- Always listen to customers
- Move uncomfortably fast
- Prioritize impact ruthlessly
- Own everything and nothing
- Set crazy goals
- Provide extreme transparency
- Optimize for the upside
- Team over ego
- Figure it out
- Deeply understand why
- Have fun & be nice
Company HQ
Marina del Rey, CA
Articles
Leadership
Grant LaFontaine
(Co-Founder & CEO)Former Product Marketing Manager at Google, Project Manager at Facebook. Also co-founded Kit.
Logan Head
(Co-Founder)Experience in Engineering, including at Maker's Row, Factr, and Flight Club. Former Senior Product Manager at GOAT.
Salary benchmarks
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