Senior Data Scientist, Strategy & Insights

Responsibilities

• Designs and performs data-driven experiments and causal analyses to test and validate new product ideas or go-to-market strategies, develop ecosystem understanding, and monitor current products or systems.
• Evaluates A/B and causal tooling for discernable gaps and potentially partners with Applied Sciences teams to create A/B and causal test protocols and methods and analyze ramp performance to help optimize new and/or existing features or models.
• Leverage AI tools in day-to-day workflows to increase productivity.
• Partners with internal customers to translate business problems into data-verifiable hypotheses.
• Develops and employs models and causal analyses (e.g., panel analysis, A/B testing) to determine what drives metric relationships and create actionable insights within moderately complex product domains.
• Independently diagnoses issues and identifies opportunities to drive improvements within AI/LLM systems.
• Prototypes data solutions, and/or collaborates with relevant partners (e.g., Data Science teams, Engineering) to operationalize, build, and validate scalable tools/applications/solutions for use by internal customers to convert data into insights.
• Embeds data science best practices and principles through all phases of development of customized and/or scalable data solutions, providing feedback to junior team members.
• Communicates with relevant partners and internal customers on scoping data-driven investigations and experiments, contributing to recommendations for what best to prioritize to achieve intended strategy.
• Develops and runs predictive models for estimating the impact of initiatives on identified KPIs.
• Independently creates compelling, data-centric stories based on analytical findings to contribute to internal customers' decision-making.

Qualifications

• Bachelor's Degree in a quantitative discipline: Computer Science, Statistics, Operations Research, Informatics, Engineering, Applied Mathematics, Economics, etc.
• 3+ years of relevant industry or relevant academia experience working with large amounts of data.
• Experience influencing strategy through data-centric presentations.
• Experience in SQL.
• Background in at least one programming language (e.g., R, Python, Scala).
• Experience in applied statistics and statistical modeling in at least one statistical software package.
• Experience telling stories with data and visualization tools.
• Experience running platform experiments and techniques like A/B testing.

Preferred Qualifications

• Master's Degree or Doctorate in Applied Mathematics, Computer Science, Data Science, Economics, Engineering, Informatics, Statistics, or related field.
• Experience with SQL & Python, experimentation (design, analysis, variance reduction),
• Experience with causal inference methods;
• Product intuition for two-sided marketplaces

Suggested Skills

• Communication
• Decision Making
• Data Science Domain Knowledge and Skills
• Strategic Thinking