This job listing expired on Jun 3, 2021
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The Product Department is looking to add a Data Scientist who will help shape product development decisions and strategy through data-driven insights. The Data Scientist will be working closely with Product, Engineering, and Operations Teams. Success in this role hinges on your technical aptitude, quantitative abilities, and business acumen you know how to plow through data with SQL/Python/R, surface insights using math/statistics/ML techniques, and measure the business impact using efficiency/conversion/profit metrics.

What You’ll Do

  • Work with amazing product and business managers to identify strategic opportunities, measure KPIs to craft compelling stories, make data-driven recommendations, and drive informed actions.
  • Craft, analyze, and present customer behavior metrics, such as funnel conversion, user churn, and user sentiment. Work with product managers to design tests to improve these metrics.
  • Own end-to-end product analytics workflow including formulating success metrics, socializing them across the organization, and creating dashboards/reports.
  • Build data structures and ETL pipelines to transfer data into data warehouse.
  • Act as a curator of data by defining, instrumenting, and tracking necessary analytics of our products by working cross functionally with engineering and product teams.
  • Build self-service systems to enable others in the organization to leverage your work.
  • You stay focused on what’s best for the company – sometimes that requires being flexible, other times it requires being steadfast.

Requirements

  • 4+ years of relevant work experience
  • Intellectual curiosity and aptitude to pick up new technical skills
  • Ability to initiate and drive projects to completion with minimal guidance
  • High EQ with the ability to influence outcomes and communicate technical content to general audiences
  • SQL, R, Python and Tableau

Benefits

  • Generous PTO and sick days
  • Health, dental, and vision insurance
  • Company happy hours
  • Stock options