Principal Data Scientist

6 days ago

Hyderabad, Telangana, India Fanatics Full time ₹ 12,00,000 - ₹ 36,00,000 per year
Description

Key Responsibilities:

  • Lead Inventory and Pricing Optimization Initiatives:
    Design and implement predictive and prescriptive models to optimize inventory placement, demand forecasting, pricing optimization, clearance models etc.
  • Advanced Modeling & Machine Learning:
    Apply techniques such as time series forecasting, probabilistic modeling, optimization algorithms (e.g., MIP), and reinforcement learning to solve inventory and pricing-related problems.
  • Cross-functional Collaboration:
    Partner with stakeholders across supply chain, merchandising, and technology to align machine learning/analytics initiatives with business goals and operational constraints.
  • Innovation & Thought Leadership:
    Identify emerging trends and technologies in supply chain and pricing optimization; evaluate and prototype novel and pragmatic solutions to complex problems.
  • Mentoring & Leadership:
    Provide technical mentorship to other data scientists and contribute to the overall impactful growth of the organization.
  • Effective Communication:
    Have effective communication skills to convey complex quantitative analyses, analytic methodologies, and findings in a clear, concise, and actionable manner
  • Operational Impact:
    Translate data insights into actionable recommendations that directly influence decisions around inventory planning, replenishment, and distribution.

What We're Looking For:

  • PhD or Master's degree in a quantitative field from a reputed college (e.g., Operations Research, Statistics, Computer Science)
  • 10+ years of industry experience in data science, with a strong focus on inventory, pricing and supply chain optimization
  • Deep understanding of inventory theory, supply chain planning, stochastic modeling, forecasting and optimization techniques
  • Proficient in Python, SQL, and one or more optimization libraries (e.g., Gurobi, Pyomo)
  • Strong background in ML model development and experience in implementing large models in production.
  • Experience with large-scale data platforms (e.g., Spark, Snowflake, Databricks)
  • Strong business acumen with the ability to communicate complex technical ideas to non-technical stakeholders

Preferred Qualifications:

  • Experience in retail, e-commerce, or manufacturing supply chains
  • Familiarity with WMS, and/or Network optimization tools (Optilogic, Llamasoft)
  • Experience working in Agile or cross-functional product teams
  • Prior experience leading technical teams or projects

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