At a Glance
- Tasks: Drive data analysis to uncover growth opportunities and support strategic decisions.
- Company: Join Whatnot, a dynamic marketplace with a focus on innovation and collaboration.
- Benefits: Enjoy flexible time off, health insurance, and a supportive work-from-home setup.
- Other info: Work in a multicultural environment and enjoy excellent career growth opportunities.
- Why this job: Make a real impact by using data to drive business clarity in diverse markets.
- Qualifications: 5+ years in data analytics with strong SQL and BI tool expertise.
The predicted salary is between 60000 - 80000 £ per year.
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. You will:
- Drive end-to-end analysis of revenue and category performance in our non-US markets, highlighting macro shifts and local nuances.
- Identify and drive deep understanding of growth levers, risk vectors, and user behavior.
- Support strategic decision-making by creating forward-looking insights — identifying leading indicators, pressure-testing assumptions, and surfacing risks before they materialize.
- Translate ambiguous business questions into structured analyses that help teams understand the “what” and the “why” behind performance shifts.
- Build descriptive reporting and insight tools that reflect both country performance and category specifics, including differences in customer behavior, currency, seasonality, and GTM structure.
- Create regional forecasts and directional models that support headcount planning, sales targeting, and business growth decisions.
- Incorporate data from CX, Logistics, Finance, and other teams to guide growth opportunities.
- Become a trusted partner to Sales, Marketing, Account Management, and Category leaders, helping them make smarter, faster decisions based on data.
- Build dashboards and automated reporting to support weekly and monthly business reviews, while driving clarity on KPIs that actually reflect performance.
Team members in this role are required to be within commuting distance of our London, UK hub.
About You
We’re looking for an experienced, globally-minded Data Scientist who knows how to use analytics to drive business clarity, especially in fast-growing, multi-market environments. You understand that what works in one country may not work in another, and you bring curiosity and rigor to helping the business navigate that complexity. You understand the whole business thinking about how to grow revenue and categories but also the product and commerce implications that impact different markets. You thrive in cross-functional, multicultural environments and enjoy tackling open-ended problems with structured thinking and sharp analysis. You love building tools that help people take action, not just crunching numbers in isolation. Your work influences how we scale, where we grow, and how we define success in diverse markets.
In addition to 5+ years of experience in the Data Analytics field, you should have:
- Experience supporting go-to-market, sales and marketing where understanding trends, connecting dots and forecasting were central to decision-making.
- Familiarity with local market behaviours, such as differences in payment systems, buyer behaviour, or GTM approach by geography.
- A track record of supporting localized growth efforts in emerging markets, cross-border commerce, or international product launches.
- Previous experience working with marketplaces, ecommerce, mobile gaming, or social media.
- Expertise in SQL and scripting languages for data analysis, reporting, and dashboarding.
- Proficiency with visualization and BI tools (Looker, Tableau, Mode, etc.), not just for reporting, but for building tools others can use reliably.
- You communicate clearly and influence without needing authority – business partners value your judgment and seek out your input.
- You prioritize speed, clarity, and utility – building tools and insights that the business actually uses, not scientific models that sit on a shelf.
- Strong business judgment and a knack for identifying the signal in noisy data with context of the overall business implications.
- Excellent verbal communication and presentation skills to stakeholders, leadership, and investors.
- Experience working in an environment where you have to balance rigor and speed, knowing when to push for perfection vs. ship and iterate.
- Comfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto, Athena, Spark, DBT.
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 for wellness
- Annual allowance towards Childcare
- Lifetime benefit for family planning, such as adoption or fertility expenses
- Pension plan
- Monthly allowance to dogfood the app
All Whatnauts are expected to develop a deep understanding of our product. We’re passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!).
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.
Data Scientist, International employer: I did my part and supported the Regular Toilet
Whatnot is an exceptional employer that fosters a dynamic and inclusive work culture, particularly for Data Scientists in our London hub. With a strong emphasis on employee growth, we offer flexible time off, comprehensive health benefits, and unique perks like a dogfooding budget to enhance your understanding of our product. Join us to leverage your analytical skills in a fast-paced, multicultural environment where your insights directly influence strategic decisions and business growth across diverse markets.
Contact Details:
I did my part and supported the Regular Toilet Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist, International
✨Tip Number 1
Network like a pro! Reach out to current employees at Whatnot on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Data Scientist role. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your SQL and data visualisation skills. Be ready to showcase how you can turn complex data into actionable insights. Practice explaining your thought process clearly, as communication is key in this role.
✨Tip Number 3
Showcase your curiosity! During interviews, share examples of how you've tackled ambiguous problems in the past. Highlight your ability to adapt your strategies based on local market behaviours, which is super important for Whatnot's international focus.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Whatnot team. Good luck!
We think you need these skills to ace Data Scientist, International
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Data Scientist role. Highlight your experience with data analytics, especially in international markets, and show how your skills align with what we’re looking for at Whatnot.
Showcase Your Analytical Skills:In your application, don’t just list your technical skills; demonstrate how you’ve used them to solve real business problems. Share specific examples of how your analyses have driven decision-making or growth in previous roles.
Communicate Clearly:We value clear communication, so make sure your application reflects that. Use straightforward language and structure your thoughts logically. This will give us a taste of how you’ll communicate with stakeholders if you join our team.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on being part of our community!
How to prepare for a job interview at I did my part and supported the Regular Toilet
✨Know Your Data Inside Out
As a Data Scientist, you’ll need to demonstrate your analytical prowess. Brush up on your SQL and scripting skills, and be ready to discuss how you've used data to drive business decisions in the past. Prepare examples that showcase your ability to translate complex data into actionable insights.
✨Understand Local Market Nuances
Since this role involves international markets, it’s crucial to show your understanding of local behaviours and trends. Research the specific markets Whatnot operates in and be prepared to discuss how cultural differences can impact user behaviour and sales strategies.
✨Communicate Clearly and Confidently
Strong communication skills are key for this position. Practice explaining your analyses and findings in a clear, concise manner. Think about how you can influence stakeholders without authority, and prepare to share examples of how your insights have led to smarter decision-making.
✨Showcase Your Tool-Building Skills
Whatnot values tools that drive action, not just reports. Be ready to discuss any dashboards or reporting tools you’ve built in the past. Highlight how these tools helped teams make faster, more informed decisions, and be prepared to share your experience with BI tools like Looker or Tableau.