About the role
As Senior AI Data Scientist, you'll analyze how the businesses we run actually perform, develop predictive models, and generate insights that drive product decisions. You'll work on everything from understanding owner behavior to building recommendation systems and quality prediction models.
Responsibilities
- Analyze user behavior data to identify patterns, opportunities, and areas for improvement.
- Build predictive models for user engagement, churn, and success metrics.
- Develop recommendation systems for what a business should sell, publish and try next.
- Design and analyze A/B tests to measure feature impact.
- Create data pipelines and dashboards for ongoing monitoring and reporting.
- Collaborate with product and engineering to translate insights into features.
- Develop quality prediction models for the content and stores the operators produce.
- Present findings and recommendations to stakeholders.
Requirements
Experience
- 5+ years of experience in data science or machine learning.
- Experience with large-scale data analysis and modeling.
- Track record of impactful data science projects.
Technical skills
- Expert-level Python and SQL skills.
- Strong background in statistics and experimental design.
- Experience with ML frameworks (scikit-learn, PyTorch, TensorFlow).
- Proficiency with data visualization tools (Matplotlib, Plotly, Tableau).
- Experience with big data tools (Spark, BigQuery, etc.).
Nice to have
- Experience with NLP and text analysis.
- Background in recommendation systems.
- Experience with LLM evaluation and benchmarking.
- Web or e-commerce analytics experience.