Data Scientist, Whatnot

Discovery Ecosystem

$180-275k

Offers equity

SQL
Python
R
Athena
Redshift
Spark
Snowflake
dbt
Mid and Senior level
Los Angeles
New York
San Francisco Bay Area
Whatnot

Live stream platform & marketplace for collectibles

Open for applications

Whatnot

Live stream platform & marketplace for collectibles

501-1000 employees

B2CMarketplaceToysSocialSocial MediaConsumer Goods

Open for applications

$180-275k

Offers equity

SQL
Python
R
Athena
Redshift
Spark
Snowflake
dbt
Mid and Senior level
Los Angeles
New York
San Francisco Bay Area

501-1000 employees

B2CMarketplaceToysSocialSocial MediaConsumer Goods

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

  • 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
  • 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

What the job involves

  • 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

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 headshot

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

Some candidates hear
back within 2 weeks

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 6 rounds)

Jul 2022

$260m

SERIES D

Sep 2021

$150m

SERIES C

Total funding: $484.2m

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

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.

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