Senior Data Scientist, ITC

Earn Modes; Karnataka; On-site; INR 2,600,000 - 4,600,000; Full time

Job summary

Nike, Inc. India hub is seeking a Senior Data Scientist who blends optimization and ML to power global supply chain decisions. You will design, build, and deploy production-grade models for demand planning, inventory positioning, and logistics, collaborating with engineering, analytics, and business teams.

The role emphasizes ownership, strong communication of quantitative results, and delivering real-world supply chain solutions at scale in a fast-paced environment.

Qualifications

• Bachelor’s or Master’s degree in a quantitative field (data science, stats, OR, IE, CS).
• 5+ years of professional experience as a data scientist or applied scientist.
• Hands-on experience building optimization models using Python tools and solvers (Gurobi/CPLEX).

Responsibilities

• Design, develop, and deploy optimization and analytical models for global supply chain decisions.
• Build end-to-end analytical pipelines: data ingestion, feature engineering, model training, validation, deployment.
• Apply statistical modeling, ML, and simulation to support optimization-based solutions.
• Collaborate with cross-functional teams to translate business problems into quantitative models.
• Mentor junior data scientists and contribute to governance and reproducibility.

Skills

Python

SQL

Optimization

Forecasting

Machine Learning

Education

Bachelor's or Master's degree in Data Science, Statistics, Operations Research, Industrial Engineering, Computer Science, or a related quantitative field

Tools

Pyomo

PuLP

OR-Tools

Gurobi

CPLEX

Job description

Job Description

WHO YOU’LL WORK WITH
The Data Science & Advanced Analytics team sits within Supply Chain & Planning Technology (SCPT) at NIKE, Inc., driving forecasting, optimization, and simulation solutions across Nike’s supply chain. The team develops end-to-end digital transformation across global planning, inventory, logistics and supply chainoperations. This team partners with supply chain, technology team, and product stakeholders across NIKE’s India hub to delivercutting-edgeanalytical and optimization solutions that shape how NIKE moves product around the world. This role reports to the Director of Data Science Supply Chain & Planning Technology and collaborates closely with global engineering, operations research, and business analytics teams, and with the broader Data Science Center of Excellence to elevate discipline standards enterprise-wide.

WHO WE ARE LOOKING FOR

We are looking for a Senior Data Scientist who combines deep expertise in optimization and operations research with strong machine learning fundamentals. The ideal candidate thrives at the intersection of data science and supply chain, has a track record of delivering production-grade models, and communicates complex quantitative results clearly to both technical and business audiences. You bring an ownership mindset, intellectual curiosity, and a passion for solving real-world supply chain problems at global scale.

Bachelor’s or Master’s degree in Data Science, Statistics, Operations Research, Industrial Engineering, Computer Science, or a related quantitative field.
5+ years of professional experience as a data scientist or applied scientist.
Hands-on experience building optimization models using Python (Pyomo, PuLP, OR-Tools), commercial or open source solvers (Gurobi, CPLEX), or equivalent.
Hands-on experience building forecasting Model
Proficiency in Python and SQL, with experience in cloud or distributed data environments.
Strong experience with supply chain use cases: planning, inventory, logistics, e-com, manufacturing, or fulfillment are preferred.

WHAT YOU’LL WORK ON

As a Senior Data Scientist on the Supply Chain & Planning Technology team, you will design, build, and deploy advanced optimization and analytical models that power NIKE’s global supply chain decisions — from demand planning and inventory positioning to sourcing andlogistics.

Design, develop, and productionize optimization models and forecast model to support supply chain decisions including demand planning, inventory optimization, sourcing, capacity planning,andlogistics.
Buildandmaintainend-to-endanalytical pipelines covering data ingestion, feature engineering, model training, validation, and deployment.
Apply statistical modeling, machine learning, and simulation techniques to accompany optimization-based solutions.
Partner closely with supply chain, operations, and product stakeholders across India and global teams to translate business problems into quantitative models and clearly communicate results and tradeoffs.
Conduct model performance analysis, scenario testing, and sensitivity analysis to support decision-making under uncertainty.
Contribute to best practices for model governance, reproducibility, documentation, and responsible use of data science solutions.
Mentor junior data scientists through technical guidance and model reviews.
Source: Company Career page