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Data Scientist

Adil ShaikhUnited StatesMIDPosted 11d ago
Revenue Growth ManagementPricing StrategyPrice OptimizationPromotional EffectivenessTrade PromotionProduct Assortment OptimizationDemand ForecastingPrice ElasticityData ScienceMachine LearningStatistical ModelingPredictive AnalyticsDatabricksPythonPandasNumPyScikit-learnCommercial AnalyticsML model developmentML model deploymentML model monitoring
About the Role We are looking for a Data Scientist to join our team focused on Revenue Growth Management (RGM) in the Consumer Packaged Goods (CPG) industry. This role involves developing advanced analytics models to optimize pricing, promotions, and product assortment. Key Responsibilities • Develop ML and advanced analytics models for RGM initiatives • Analyze pricing, promotions, assortment and revenue opportunities • Build scalable analytical solutions using Databricks • Perform feature engineering and ML model development • Translate complex data into actionable commercial insights • Support pricing optimization, promotion planning and profitability improvement • Collaborate with business, commercial and data engineering teams • Evaluate and continuously improve ML models and analytical pipelines Requirements • Strong CPG industry experience specifically in Revenue Growth Management (RGM) • 3–5 years of experience • Pricing Strategy and Price Optimization expertise • Promotional Effectiveness and Trade Promotion knowledge • Product Assortment Optimization skills • Demand Forecasting and Price Elasticity understanding • Data Science and Machine Learning proficiency • Statistical Modeling and Predictive Analytics experience • Hands-on experience with Databricks • Proficiency in Python, Pandas, NumPy, Scikit-learn • Experience with large-scale CPG datasets and commercial analytics • ML model development, deployment and monitoring skills • Strong business stakeholder communication abilities Benefits • Contract position with 6+ months duration

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