remote
Data Scientist, Product Analytics - Whatnot
Data Scientist
Lead data-driven product decisions for a fast‑growing livestream shopping platform, building predictive models, experimentation frameworks, and actionable insights using Python, SQL, and advanced analytics techniques.
About the role
Key Responsibilities
- Design, build, and maintain end‑to‑end data pipelines to ingest and transform product usage data for analysis.
- Develop and deploy machine learning models to forecast user engagement, conversion rates, and revenue impact.
- Lead A/B testing initiatives, defining hypotheses, metrics, and statistical significance thresholds to guide product roadmap.
- Collaborate with product managers and engineers to translate analytical findings into actionable product improvements.
- Create interactive dashboards and visualizations to communicate insights to cross‑functional stakeholders.
Requirements
- 3+ years of experience in data science or analytics within a high‑growth tech environment.
- Proficiency in Python (pandas, scikit‑learn, statsmodels) and SQL for data manipulation and model development.
- Strong statistical background with experience in hypothesis testing, experimental design, and causal inference.
- Hands‑on experience with product analytics tools (e.g., Mixpanel, Amplitude) and BI platforms (Tableau, Looker).
- Excellent communication skills and ability to present complex findings to non‑technical audiences.
Skills
pythonsqlmachine learning