
Principal Data Scientist
7 days ago
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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