Note: The job is a remote job and is open to candidates in USA. Analytic Recruiting Inc. is seeking a Principal Data Scientist for an optimization platform serving Consumer Packaged Goods leaders. The role focuses on building predictive models, causal inference frameworks, time-series forecasts, and optimization routines from complex retail data, while partnering with engineering and business stakeholders to support experimentation and decision-making.
Responsibilities
- Build and scale ML models and optimization routines (demand forecasting, price elasticity, trade promotion optimization)
- Build statistical frameworks measuring incremental lift of business actions, isolating real revenue drivers from noise
- Partner with engineering to structure noisy retail/billing data into clean, analysis-ready datasets
- Design rigorous A/B and multivariate tests for new decision workflows and features
- Translate statistical outputs into clear recommendations for product managers and executives
Skills
- Master's (PhD a plus) in Statistics, Data Science, Applied Math, Economics, or CS
- 3+ years commercial data science experience; or 1 year of experience + PhD
- Strong Python (Pandas, NumPy, Scikit-learn) and SQL
- Deep knowledge of time-series forecasting, regression, and ML methods
- Experience with cloud data warehouses (Snowflake, BigQuery, or similar)
- Dashboard/visualization skills (Tableau, PowerBI, Streamlit)
- Entrepreneurial mindset; comfortable shipping MVPs and iterating quickly
- CPG, e-commerce, or retail supply chain experience
- Bonus: potential to grow into a Head of Product or CPO role
Benefits
- Equity
- Fully remote
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