Senior Data Scientist (Commercial Analytics In-Season Planning)(Open to remote work, except the following locations: SD, VT, and WV)

Nike Inc.
Beaverton, OR, USA
Posted 1 month ago
Full time

Become a Part of the NIKE, Inc. Team

NIKE, Inc. does more than outfit the world’s best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At NIKE, Inc. it’s about each person bringing skills and passion to a challenging and constantly evolving game.

Analytics is a competitive differentiator for Nike and is fundamentally changing how the company serves athletes and consumers around the world. The Nike Commercial Analytics team builds analytic-based solutions to manage marketplace and optimize the supply chain. Using big data, advanced analytics and innovative technology, we strive to ensure that Nike gets the right product to the right place at the right time for the consumers!

Who we are looking for

We are looking for an experienced Senior Data Scientist to join Nike’s Global Commercial Analytics. This role will be part of a multi-functional agile squad and will provide technical expertise and leadership in building predictive and prescriptive analytic solutions to support Nike’s demand planning, supply/inventory planning, forecasting, and optimization goals.

The candidate needs to be a dependable teammate with strong hands-on data science and analytics experience, drive, and curiosity. 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 a plethora of advanced modeling techniques, you are able to identify the technique optimal for the task at hand based on the business requirements, your knowledge of the data and the technique’s assumptions, interpretability and robustness. You ask good questions, are continually learning as well as finding opportunities to share knowledge with others.

What you will work on

If this is you, you will be part of the Commercial Analytics organization’s Digital Demand Sensing In-Season Data Science squad that delivers data science products and solutions to support Nike’s business strategies and initiatives spanning demand, supply, and inventory management.

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:

  • Work with the squad through assessment of business requirements, data constraints, and pros/cons of alternative analytics techniques to determine the best solution approach. Contribute to the planning, scheduling and value measurement of the work to meet timeline targets and success criteria.
  • Drive implementation, and maintenance of production-grade data science (statistical, mathematical, and AI/ML) and operation research models to determine optimal level of factory utilization, capacity, costs, lead times, and reduction of un-planned.
  • Help deliver improvement of aligning manufacturing capacity with demand by understanding product attributes, partner’s manufacturing capabilities and complexity.
  • 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; continue to adapt or develop new methods and learn new software packages as available in the literature and recent publications.
Who you will work with

You will report to the Director of Data Science and serve as a Sr. Data Scientist in the Demand and Supply Management’s Digital Demand Sensing squad, which includes other data scientists (and data engineer partners). You will collaborate across the broader organization with business teams in Demand and Supply Management supporting Commercial Analytics as well as other data, analytics and technology functions at Nike.

What you bring

  • Advanced quantitative degree (Statistics, Mathematics, Operations Research, Computer Science or related field) and at least 5 years of related industry experience or Bachelor’s degree and 7-12 years related industry experience.
  • Deep knowledge of data science and optimization methodologies, including classical models, artificial intelligence and machine learning algorithms, and linear and non-linear optimization techniques.
  • 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).
  • 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 Data Science/Analytics lifecycle.
  • Working knowledge of supply chain and inventory management
  • 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.
  • Proven track record of working cross functionally and critically evaluate complex business information from multiple perspectives, including questioning assumptions and validity.
  • Excellent written and verbal communication skills, including ability to develop and deliver presentation.
  • Open to remote work, except cannot work in South Dakota, Vermont, and West Virginia. These candidates will be required to relocate.For employees based in Colorado, this position starts at $140,000 per year. Information about benefits can be foundhere.

Nike requires all applicants for this position to be vaccinated for COVID-19 as a condition of hire, unless otherwise required by law. As an equal opportunity employer, Nike will make accommodations to individuals who cannot be vaccinated in accordance with applicable law.

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.

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