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Lead Data Scientist - Pricing Strategy & Analytics

Lead Data Scientist - Pricing Strategy & Analytics

Aria Intelligent SolutionsDelhi, Republic Of India, IN
8 days ago
Job description

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 management—leading 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. You’ll 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 interactions—managing 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 :

  • Master’s or Ph.D. in Computer Science, Data Science, Statistics, Operations Research, or 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.
  • 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.
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    Lead Data Scientist • Delhi, Republic Of India, IN

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