Director of Data

Spoiler Alert

Completely RemoteFull TimeInformation Technology
Posted Yesterday

Job description

Responsibilities

  • Partner with the VP of Product on data strategy to drive results for suppliers and buyers
  • Develop customer-facing analytics including pricing intelligence and applied AI/ML
  • Equip Operations with data to advise customers on liquidation strategies
  • Identify and develop commercial value through new data-driven products
  • Define and maintain marketplace liquidity metrics for leadership and the Board
  • Strengthen internal adoption of data and AI/ML in everyday decision-making
  • Recruit, develop, and lead a high-performing team of analysts
  • Partner with Engineering to ensure data quality, consistency, and accessibility

Requirements

  • 7-10+ years in analytics or data science
  • 3+ years leading data teams in B2B SaaS, marketplace, or data products
  • Direct experience with CPG and/or retail data and metrics
  • Hands-on proficiency with SQL and the modern data stack
  • Expertise in dbt, Python, pandas, and BI tools
  • Experience shipping customer-facing data products
  • Ability to work in the United States without visa sponsorship

Preferred Qualifications

  • Experience in category management, pricing optimization, or demand planning
  • Knowledge of applied AI/ML, supply chain management, or auction theory
  • Experience with retail media or LLMs

Benefits

  • Remote-first environment
  • Competitive salary and stock option packages
  • Subsidized health, dental, and vision insurance
  • Climate-focused 401(k) and Roth 401(k) options
  • 12-16 weeks of paid parental leave
  • 20 vacation days and 10 sick days per year
  • Focus Fridays and Summer Fridays
  • Annual flex funds for remote work and development

About the Company

Spoiler Alert is a CPG and retail tech company on a mission to expand consumer access to affordable, everyday essentials by unlocking the value in surplus inventory.

Skills & tools

SQLPythonAI/ML

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 017-10+ years in analytics or data science
  2. 023+ years leading data teams
  3. 03Experience with CPG or retail data
  4. 04Proficiency in SQL and modern data stack
  5. 05Experience shipping customer-facing data products
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