WhatNot is hiring a
Data Scientist

Logo of WhatNot

WhatNot

πŸ’΅ ~$150k-$180k
πŸ“Remote - United States

Summary

Join Whatnot, the largest livestream shopping platform in North America and Europe, as a Data Scientist to partner with Product Engineering teams and improve the discovery of live streaming content. You will work closely with leads across Discovery, Search, Ads, and Community teams to find improvements and opportunities using data science methodologies and tools.

Requirements

  • 5+ years of experience in the Data field
  • 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

Responsibilities

  • 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

Benefits

  • Flexible Time off Policy
  • 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
  • Parental Leave

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