Enable job alerts via email!

Data Scientist, Category Expansion

Whatnot

Seattle, San Francisco, New York, Los Angeles (WA, CA, NY, CA)

Hybrid

USD 185,000 - 205,000

Full time

4 days ago
Be an early applicant

Boost your interview chances

Create a job specific, tailored resume for higher success rate.

Job summary

Whatnot, la plus grande plateforme de livestream shopping en Amérique du Nord, recherche un Data Scientist expérimenté pour rejoindre son équipe d'Analytics. Dans ce rôle clé, vous soutiendrez les équipes Go-To-Market grâce à des analyses approfondies et des prévisions, influençant des décisions stratégiques sur la croissance et la performance. Votre expertise en analyse de données et en visualisation contribuera à l'optimisation des performances à une échelle significative.

Benefits

Flexible Time off Policy
Health Insurance options
Work From Home Support
Monthly allowance for cell phone and internet
Parenting leave benefits

Qualifications

  • 5+ ans d'expérience dans l'analyse des données.
  • Expérience avec les plateformes de marché et l'e-commerce.
  • Compétences en communication et présentation fortes.

Responsibilities

  • Analyser les tendances de revenus et de performance des catégories.
  • Construire des prévisions et des modèles directionnels.
  • Collaborer avec les équipes Sales et Marketing pour des décisions basées sur les données.

Skills

SQL
Data Analysis
Business Acumen

Tools

Looker
Tableau
Big Query

Job description

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 ourvalues , 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 thefastest growing marketplaces and we’re hiring forward-thinking problem solvers across all functional areas.

  • Drive end-to-end analysis of revenue trends and category performance, surfacing what’s working, what’s not, and what needs attention.
  • Translate ambiguous business questions into structured analyses that help teams understand the “what” and the “why” behind performance shifts.
  • Deliver descriptive analytics that help revenue teams understand current state performance across key revenue and category metrics.
  • Build forecasts and directional models that support headcount planning, sales targeting, and business growth decisions.
  • Provide insights within the context of the overall broader business and customer behaviors while given contextual specific details around individual teams needs
  • 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.
  • Support strategic decision-making by creating forward-looking insights — identifying leading indicators, pressure-testing assumptions, and surfacing risks before they materialize.

US Based Role:

Required to be within commuting distance of our Los Angeles, Seattle, New York or San Francisco Hubs

About You

We’re looking for an experienced, business-savvy Data Scientist to join our growing Analytics team and help shape how we understand, measure, and grow Whatnot. This role supports Go-To-Market teams and sits at the intersection of strategy and execution, supporting teams like Sales, Marketing, Account Management, and Category Expansion with the analytics and insights they need to drive measurable business impact.

You’ll focus on building clarity around business performance, revenue trends, and category growth through rich descriptive analysis and forward-looking forecasting. From uncovering why a key metric is shifting to modeling where we’re headed next, your work will directly influence how we invest, prioritize, and operate. Critical to this role is empowering our cross-functional teams with accurate insights in a form that empowers them to understand their business and take actions rapidly.

This is an ideal role for someone who thrives in cross-functional environments and enjoys solving open-ended business problems with thoughtful analysis, trusted reporting, and strong stakeholder partnership. Your work will help shape where we grow next, how we allocate resources, and how we define and track success at scale.

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

  • Roles where supporting go-to-market, sales and marketing where understanding trends, connecting dots and forecasting was central to decision-making
  • Previous experience working with marketplaces, ecommerce, mobile gaming, or social media
  • Expert in using SQL and scripting languages for data analysis, reporting, and dashboarding.
  • You’re strong 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

For US-based applicants: $185,000/year - $205,000/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.

  • 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
    • 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!).
  • 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.

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.

Apply for this job

*

indicates a required field

First Name *

Last Name *

Email *

Phone

Resume/CV *

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

Preferred First Name *

Preferred Last Name *

LinkedIn Profile

Website

How did you hear about this job? *

At the time of hire, will you be located within 50 miles of one of our hubs? If so, please select which location. If not, please select “N/A” and input your city and state/province in the field below. * Select...

Please list the city and state you are located in today. *

Are you legally authorized authorized to work in the United States? * Select...

Optional Demographic Questions

Hi there! Here at Whatnot, we want to empower every employee to reach their full potential, regardless of race, gender, ethnicity, sexual orientation, or background. We also believe that building an organization with many dimensions of diversity is an important key to short and long-term success.

We collect anonymous demographic information to help us achieve our goal of building a diverse company. This information is anonymous and will not be tied back to your application. Thedata will only be usedin aggregatefor reporting or learning purposes.

With what Race/Ethnicity do you identify? * Select...

Do you belong to the LGBTQ+ community? * Select...

How you would describe your gender identity? * Select...

How would you describe your disability status? * Select...

How would you describe your veteran status? * Select...

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.

Similar jobs

Lead Data Scientist - Healthcare Delivery

Mika Meyers PLC

Orange null

Remote

Remote

USD 106,000 - 285,000

Full time

9 days ago

Senior Data Scientist, Strategic Finance Finance San Francisco, CA

Rippling

San Francisco null

On-site

On-site

USD 129,000 - 226,000

Full time

4 days ago
Be an early applicant

Senior Data Engineer

Landing Point

New York null

On-site

On-site

USD 105,000 - 210,000

Full time

4 days ago
Be an early applicant

Senior Data Scientist, Strategic Finance

RIPPLING PEOPLE CENTER

New York null

On-site

On-site

USD 129,000 - 226,000

Full time

2 days ago
Be an early applicant

Senior Data Scientist, Growth Systems and App Foundations

Google

Mountain View null

On-site

On-site

USD 166,000 - 244,000

Full time

6 days ago
Be an early applicant

AI Software Engineer - Data Platform (SF, Palo Alto or NYC)

Perplexity AI

Palo Alto,San Francisco,New York null

On-site

On-site

USD 200,000 - 280,000

Full time

30+ days ago

Senior Data Analyst

PLAUD ai

San Francisco null

Hybrid

Hybrid

USD 130,000 - 190,000

Full time

2 days ago
Be an early applicant

Data Scientist - Product

ZipRecruiter

San Francisco null

On-site

On-site

USD 200,000 - 270,000

Full time

14 days ago

Senior Scientist, Quantum Sensing (Control)

Q-CTRL

San Francisco null

On-site

On-site

USD 123,000 - 190,000

Full time

5 days ago
Be an early applicant