Senior Data Scientist, Supply Chain Optimisation

Global Sports Jobs Limited; Pahokee (FL); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Generous total rewards package

Casual work environment

Diverse and inclusive culture

Electric atmosphere for professional开发

Job summary

Nike is seeking a Data Scientist within the Data Science & Advanced Analytics team, part of SCPT, contributing to manufacturing, materials sourcing, and supply planning. You will design predictive and prescriptive analytical solutions, build end-to-end pipelines, and collaborate with data engineers, product owners, and business end users to deliver scalable insights for global supply chain decisions.

The role emphasizes advanced modelling, productionisation, and cross-functional leadership to

Qualifications

• Advanced quantitative degree in Statistics, Mathematics, Operations Research, Computer Science or a related field and at least 5 years of related industry experience as a data scientist or applied scientist, or a Bachelor's degree and 7-12 years of related work experience.
• Dependable teammate with drive, curiosity, strong hands-on data science and analytics experience including forecasting, optimisation, and simulation, and a deep understanding of supply chain and operations.
• Ability to rise above the numbers and explain complex insights to users at all levels, and to simplify and distil business complexity into testable hypotheses and scalable solutions.
• Proficiency in various advanced modelling techniques, with the ability to identify the optimal technique based on business requirements, available data, and the technique's assumptions, interpretability, robustness, and limitations.
• Consulting mindset; asks good questions, continually learns and keeps up with state-of-the-art developments, and finds opportunities to share knowledge with others.
• Deep knowledge and experience in supply chain, supply planning, manufacturing and sourcing, and logistics.
• Hands-on ability and knowledge in data engineering, software engineering, and at-scale production.
• Proven track record of working cross-functionally and having a consulting mindset to critically evaluate complex business information from multiple perspectives, including questioning assumptions and validity.
• Familiarity with the Agile development process and ability to prepare a project plan, communicate it to the team, and break work into trackable tasks.

Responsibilities

• Design, develop, and productionise optimisation and analytical models to support supply chain decisions, applying statistical modelling and simulation techniques and conducting model performance, scenario, and sensitivity analysis.
• Build and maintain end-to-end analytical pipelines covering data ingestion, feature engineering, model training, validation, and deployment.
• Work with the squad and global supply chain and operations partners to assess business requirements, data constraints, and trade-offs of alternative modelling techniques, contributing to planning, scheduling, and value measurement to meet timeline targets and success criteria.
• Explore business drivers of cost, on-time performance of products and materials, and root causes of quality issues, while striving to achieve Nike's sustainability goals.
• Help shape Nike's analytical platforms and products by identifying foundational data science capabilities and creating reusable analytical components.
• Support the adoption of analytical products through effective storytelling and collaboration with key partners.
• Share knowledge with the wider team and contribute to best practices for model governance, reproducibility, and responsible use of data science solutions.
• Influence product direction, guide standard methodologies in data science and engineering, and help deliver technical projects from inception to completion.

Job description

Nike is seeking a Data Scientist within the Data Science & Advanced Analytics team, part of SCPT, contributing to manufacturing, materials sourcing, and supply planning. You will design predictive and prescriptive analytical solutions, build end-to-end pipelines, and collaborate with data engineers, product owners, and business end users to deliver scalable insights for global supply chain decisions.

The role emphasizes advanced modelling, productionisation, and cross-functional leadership to