Data Scientist/ Sr Data Scientist

As a Data Scientist/Senior Data Scientist Price Optimization, Demand Modelling & Forecasting, you will play a critical role in developing and deploying advanced machine learning models for price optimization, cannibalization impact analysis, and demand forecasting. In addition to your technical expertise, you'll be a key point of contact for client managementleading client-facing projects and delivering actionable insights to address complex business problems. You will collaborate closely with cross-functional teams, translating business requirements into scalable data solutions while ensuring alignment with client objectives. Youll also mentor and guide junior data scientists, fostering a collaborative and innovative environment to ensure continuous learning and growth.

Role and Responsibilities:

Model Development:

• Design, implement, and scale machine learning solutions for price elasticity, price and promotion optimization, cannibalization effects, and demand modelling/forecasting across FMCG and Retail sectors.
• Develop and validate models that quantify cross-product impacts and substitution effects to optimize overall category performance.

Hands-On Data Science:

• Lead end-to-end model development using PySpark, Databricks, and other distributed computing environments for efficient large-scale data processing and model training.
• Write modular, scalable code for model development using libraries such as pulp, cvxpy, Temporal Fusion Transformers, XGBoost, and time series modelling libraries.

Collaborative Problem Solving:

• Work closely with cross-functional teams to identify business challenges, define data-driven solutions, and implement dynamic pricing, cannibalization, and forecasting tools.

Client Management:

• Serve as the primary data science lead for client interactionsmanaging expectations, providing technical expertise, and presenting actionable, data-driven insights.
• Ensure timely project delivery, alignment with business goals, and sustained client satisfaction.

Innovation:

• Continuously explore and test innovative approaches in price elasticity modelling, cross-product cannibalization analysis, and demand forecasting.
• Drive innovation to improve existing pricing and forecasting frameworks for better commercial outcomes in the FMCG/Retail sector.

Mentorship:

• Provide guidance and mentorship to junior data scientists, encouraging best practices in model design, coding, and documentation.

Skills and Experience:

Essential:

• Masters or Ph.D. in Computer Science, Data Science, Statistics, Operations Research, or related field.
• 310 years of experience in data science with a focus on price optimization, demand forecasting, and cannibalization modelling, preferably in FMCG or Retail.
• 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 ability to translate quantitative findings into strategic recommendations.
• Excellent communication skills with the ability to explain complex models to non-technical stakeholders.
• Demonstrated experience managing client relationships and delivering results in cross-functional, fast-paced environments.

Ideal:

• Experience with cloud platforms (AWS, GCP, Azure) for scalable model development and deployment.
• Familiarity with MLOps and automated deployment pipelines for pricing and forecasting models.
• Published work or contributions in areas such as pricing optimization, demand modelling, or retail analytics in reputed journals or conferences.