Data Scientist/ Sr Data Scientist

Role Overview: As a Data Scientist/Senior Data Scientist specializing in Price Optimization, Demand Modelling & Forecasting, you will be instrumental in creating and implementing advanced machine learning models for optimizing prices, analyzing cannibalization impact, and forecasting demand. Beyond your technical proficiency, your role will involve managing client relationships, leading client-facing projects, and providing actionable insights to tackle complex business challenges. Collaboration with cross-functional teams to develop scalable data solutions aligned with client objectives and mentoring junior data scientists to foster a culture of continuous learning and innovation will be key aspects of your responsibilities. Key Responsibilities: - Design, implement, and scale machine learning solutions for various areas including price elasticity, price and promotion optimization, cannibalization effects, and demand modelling/forecasting in the FMCG and Retail sectors. - Lead end-to-end model development utilizing PySpark, Databricks, and other distributed computing environments for efficient large-scale data processing and model training. - Work collaboratively with cross-functional teams to identify business challenges, define data-driven solutions, and implement dynamic pricing, cannibalization, and forecasting tools. - Serve as the primary data science lead for client interactions, managing expectations, providing technical expertise, and presenting actionable, data-driven insights. - Continuously explore and test innovative approaches in price elasticity modelling, cross-product cannibalization analysis, and demand forecasting to drive improvements in pricing and forecasting frameworks. - Provide guidance and mentorship to junior data scientists to encourage best practices in model design, coding, and documentation. Qualifications Required: - Masters or Ph.D. in Computer Science, Data Science, Statistics, Operations Research, or a related field. - 3-10 years of experience in data science with a focus on price optimization, demand forecasting, and cannibalization modelling, preferably in FMCG or Retail industries. - Strong experience in PySpark for large-scale data processing and model deployment. - Proven ability to develop and implement demand and price elasticity models, interpret cross-product interactions, and deliver business impact. - Strong problem-solving skills and the ability to translate quantitative findings into strategic recommendations. - Excellent communication skills with the ability to explain complex models to non-technical stakeholders. - Demonstrated experience in managing client relationships and delivering results in cross-functional, fast-paced environments. Additional Company Details (if available): No additional company details are provided in the job description.,