Principal Data Scientist
fanatics sports apparel
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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