Staff Data Scientist
Confirmed live in the last 24 hours
Remote • United States
Experience Level
Desired Skills
Data Analysis
Operations Research
  • Partner with Product to develop metrics and conduct analysis for measuring impact of decisions on KPIs
  • During feature development, design analytics products and experiments that will appropriately measure impact
  • Work with Product to establish, reach consensus, and build analytics products to monitor high-level metrics for specific business areas and the Product organization overall
  • Roll out experiments and interpret results in a way that appropriately represents statistical uncertainty and ambiguity while giving informed recommendations
  • Develop and define success metrics for monetization and user experience initiatives and build analytics products to automate their measurement
  • Be a leader in improving team and organizational collaboration, including how we work with business stakeholders and use data to make decisions
  • Measure business performance by conducting analytical research, interpreting results of experiments, and building dashboards
  • Mentor other data scientists and analysts on the team
  • 7+ years of proven experience in a product analytics role
  • Experience communicating results and recommendations clearly in a cross-functional environment to an executive audience
  • Proven record partnering with stakeholders to drive alignment, results, and informed decision making
  • Fluency in SQL and data analytics tools in Python
  • Expertise with a data visualization tool (e.g. Looker, Tableau)
  • Background in guiding A/B testing best practices in an industry setting
  • Preferred M.S. in statistics, engineering, applied math, economics, decision science, operations research, or a related quantitative field
  • Intellectual curiosity and willingness to learn
  • Strong and scrappy problem-solving mindset
  • Understanding of subscription revenue and financial modeling
  • Experience in a dating/social networking/mobile tech company
  • Bias for action

51-200 employees

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