The candidate needs to be a dependable teammate with drive, curiosity, strong hands-on data science and analytics experience (including forecasting, optimization, and simulation), and deep understanding of supply chain and operations. You know how to rise above the numbers and explain the crucial insights to users at all levels. You simplify and distill business complexity into testable hypotheses and scalable solutions. While you are proficient in various advanced modeling techniques, you are able to identify the technique optimal for the task at hand based on the business requirements, the available data, and the technique’s assumptions, interpretability, robustness, and limitations. You have a consulting mindset, ask good questions, are continually learning and keeping up with state-of-the-art developments, and find opportunities to share knowledge with others.
WHAT YOU WILL WORK ON
You will be part of SCPT Data Science’s Sourcing, Supply, and Manufacturing (SSM) squad. As a Senior Data Scientist, you will build and deploy optimization and analytical models that power Nike’s global supply chain and support business strategies and initiatives spanning finished goods and materials sourcing, manufacturing, costing, and supply planning.
You will have opportunities to influence product direction, guide standard methodologies in data science and engineering, and help deliver technical projects from inception to completion. Specifically, you will:
Design, develop, and productionize optimization and analytical models to support supply chain decisions. Apply statistical modeling and simulation techniques to complement optimization-based solutions. Conduct model performance analysis, scenario testing, and sensitivity analysis to support decision-making under uncertainty.
Build and maintain end-to-end analytical pipelines, covering data ingestion, feature engineering, model training, validation, and deployment.
Work with the squad as well as our global supply chain and operations partners to assess business requirements, data constraints, and pros and cons of alternative modeling techniques to determine the best solution approach and business tradeoffs. Contribute to the planning, scheduling and value measurement of the work to meet timeline targets and success criteria.
Explore business drivers of cost, on-time performance of products and materials, root causes of quality issues, and strive 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 analytic products through effective storytelling and collaboration with key partners.
Share knowledge with others on the team and contribute to best practices for model governance, reproducibility, and responsible use of data science solutions.
WHO YOU WILL WORK WITH
You will report to the Director of Data Science. As a Senior Data Scientist, you will collaborate closely with various global teams and stakeholders, including data science leads and peers, data engineers, software engineers, product owners and managers, and business end users to deliver cutting-edge analytical and optimization solutions that shape how Nike plans and moves products and materials around the world.
WHAT YOU BRING
Advanced quantitative degree (Statistics, Mathematics, Operations Research, Computer Science or related field) and at least 5 years of related industry experience as data scientist or applied scientist, or Bachelor’s degree and 7-12 years related work experience. Will accept any suitable combination of education, experience or training.
Deep knowledge of and hands-on ability in data science and optimization methodologies, including classical models, artificial intelligence and machine learning algorithms, and linear and non-linear optimization techniques. Hands-on experience building optimization models using Python and commercial solvers (e.g., Gurobi, CPLEX, or equivalent).
Advanced skills in programming languages (particularly Python and SQL) and ability to apply them for data acquisition, preprocessing, modeling, and monitoring.
Familiarity with the wide range of data science/analytics software tools (e.g., Jupyter Notebook, SQL consoles, Hadoop, Spark) and cloud computing platforms (e.g., Amazon Web Services, Databricks).
Experience in building, training, scoring, tuning and maintaining predictive models in production at enterprise scale and familiarity with mainstream packages relevant to managing all stages of the model lifecycle.
Deep knowledge and experience in supply chain, supply planning, manufacturing & sourcing, and logistics.
Some 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 demonstrable ability to prepare a project plan, communicate the plan to the team and break the work down to trackable tasks.
Excellent written and verbal communication skills, including ability to develop and deliver presentation.
We are a highly agile group made up of small, integrated product, design, and engineering teams. Our teams take features all the way from the drawing board to the consumer, partnering closely and continuously across a wide variety of hardware, software, and services teams. If what we need doesn't exist, we make it. To succeed with us you should be open-minded, thoughtful, collaborative and, above all, determined to produce great work for a global audience.
NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world. NIKE, Inc. is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.
