Senior Data Scientist

As a Senior Data Scientist at our company, you will play a crucial role in driving data-driven pricing strategies, promotional effectiveness, and revenue optimization. Your expertise in Pricing and Promotions analytics will enable you to influence pricing decisions across products, channels, and customer segments by leveraging statistical modeling, machine learning, and business acumen. Key Responsibilities: - Design, build, and maintain pricing models such as price elasticity, demand forecasting, and price optimization. - Analyze historical pricing data to identify revenue, margin, and volume trade-offs. - Support dynamic pricing and conduct scenario simulations where applicable. - Collaborate with business teams to recommend optimal pricing strategies. - Evaluate promotion effectiveness using uplift modeling and causal inference techniques. - Analyze cannibalization, halo effects, and post-promotion dips. - Design and optimize discount strategies, bundles, and targeted offers. - Measure the ROI of promotions and suggest improvements. - Build predictive and prescriptive models using regression, time series, ML techniques, and optimization. - Apply causal inference methods such as DiD, propensity score matching, and uplift modeling. - Develop customer segmentation for personalized pricing and promotions. - Collaborate with product, marketing, finance, and sales teams to translate insights into actionable strategies. - Communicate analytical findings through dashboards, presentations, and storytelling. - Partner with data engineering teams to ensure scalable and reliable data pipelines. Required Qualifications: - Bachelor's or Master's degree in Data Science, Statistics, Economics, Mathematics, or a related field. - Strong experience in pricing, promotions, revenue management, or commercial analytics. - Hands-on experience with price elasticity modeling, promotion lift/uplift modeling, statistical methods, machine learning, and working with large, complex datasets. Preferred Qualifications: - Experience in Retail, E-commerce, CPG, Travel, or SaaS pricing. - Familiarity with optimization techniques such as linear/non-linear programming. - Exposure to BI tools like Tableau, Power BI, Looker. Join our team and be part of a dynamic environment where your analytical skills and expertise in Pricing and Promotions analytics will drive impactful business decisions. As a Senior Data Scientist at our company, you will play a crucial role in driving data-driven pricing strategies, promotional effectiveness, and revenue optimization. Your expertise in Pricing and Promotions analytics will enable you to influence pricing decisions across products, channels, and customer segments by leveraging statistical modeling, machine learning, and business acumen. Key Responsibilities: - Design, build, and maintain pricing models such as price elasticity, demand forecasting, and price optimization. - Analyze historical pricing data to identify revenue, margin, and volume trade-offs. - Support dynamic pricing and conduct scenario simulations where applicable. - Collaborate with business teams to recommend optimal pricing strategies. - Evaluate promotion effectiveness using uplift modeling and causal inference techniques. - Analyze cannibalization, halo effects, and post-promotion dips. - Design and optimize discount strategies, bundles, and targeted offers. - Measure the ROI of promotions and suggest improvements. - Build predictive and prescriptive models using regression, time series, ML techniques, and optimization. - Apply causal inference methods such as DiD, propensity score matching, and uplift modeling. - Develop customer segmentation for personalized pricing and promotions. - Collaborate with product, marketing, finance, and sales teams to translate insights into actionable strategies. - Communicate analytical findings through dashboards, presentations, and storytelling. - Partner with data engineering teams to ensure scalable and reliable data pipelines. Required Qualifications: - Bachelor's or Master's degree in Data Science, Statistics, Economics, Mathematics, or a related field. - Strong experience in pricing, promotions, revenue management, or commercial analytics. - Hands-on experience with price elasticity modeling, promotion lift/uplift modeling, statistical methods, machine learning, and working with large, complex datasets. Preferred Qualifications: - Experience in Retail, E-commerce, CPG, Travel, or SaaS pricing. - Familiarity with optimization techniques such as linear/non-linear programming. - Exposure to BI tools like Tableau, Power BI, Looker. Join our team and be part of a dynamic environment where your analytical skills and expertise in Pricing and Promotions analytics will drive impactful business decisions.