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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