Sr. Data Scientist, Product Analytics
HybridAustin, Texas, United States
Job Summary
Facilitate strategic goals across consumer product initiatives by leading exploratory analyses to identify and size product development opportunities. Drive the creation of learning agendas, design multivariate tests, and translate complex analytical findings into actionable recommendations that shape the product roadmap. Define success metrics for strategic initiatives while championing self-service AI-enabled reporting tools to empower cross-functional teams. Improve tracking and data quality by leading deep-dive analyses to understand product performance and address key strategic questions around consumer engagement and lead generation. Partner with Product, Engineering, and Finance teams to deliver data-informed decision-making that influences broader business strategy.
Required Qualifications
- BS in computer science, statistics, mathematics, operations research, or related fields
- 5+ years of relevant experience in data science, machine learning, or applied statistics
- strong background in product analytics or experimentation
- proficiency in SQL
- proficiency in Python
- proficiency in Tableau
- proficiency in Amplitude (or similar analytics tools)
- Experience with AI-enabled tools (e.g., Streamlit, Claude/MCP, n8n, Windsurf)
- Ability to create ETL pipelines using dbt and Airflow
- Strong creative thinking and problem-solving skills
- Excellent communication skills
Desired Qualifications
- Experience with A/B testing and causal inference methods (e.g., difference-in-differences, synthetic control, propensity score matching)
- Experience with content analytics, media quality measurement, or marketplace analytics—including measurement frameworks for visual or spatial content
- Familiarity with partner ecosystem analytics, coverage metrics, or two-sided marketplace dynamics
- Experience with LLM APIs (e.g., Claude, OpenAI, or similar) for analytical or data product tasks
- Master's or Ph.D. in a quantitative field
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