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Data Science Director, North America Commercial Analytics (Open to remote work, except

Company: NIKE INC
Location: Vancouver
Posted on: January 6, 2022

Job Description:

Become a Part of the NIKE, Inc. TeamNIKE, 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.Nike's Commercial Analytics team provides descriptive, predictive, and prescriptive solutions to drive business decisions that ensure consumers have access to the products they want when and where they want them. That's no easy task! Come help Nike continue to develop our data science team.WHO WE ARE LOOKING FORAt Nike, we are always on the offense, and we are looking for an analytics expert who has a robust business acumen and a proven track record of creating measurable impact. The Director, Data Science will manage a team of data scientists to develop and implement new capabilities to enable data-driven and consumer-led decisions for Nike's commercially oriented functions with a focus on supporting demand planning and supply/inventory planning decisions.Strong candidates are comfortable learning quickly and thrive in an entrepreneurial environment - i.e., they are curious self-starters, flexible problem solvers, outstanding communicators, and disciples of progress over perfection! A team-player attitude is essential, since we value a culture that is collaborative, intellectually curious, and diverse.WHAT YOU WILL WORK ONAs the Director, Data Science you will:Partner with peer data science leaders to set department's strategy to enable the design of scalable, end-to-end analytics solutions, and identify and build new opportunities for cross-squad collaboration, increased code sharing across teams, and enhanced scalability of solutions across multiple partner groups. Drive strategy around implementing new data science methodologies and selection of new tools.Partner with analytics product managers to anticipate, identify and facilitate the solution to enterprise issues concerning critical business needs, and support product road-mapping and prioritization decisions across the analytics portfolio.Partner with engineering teams to influence enterprise-level data products, IT architecture, and engineering platform strategies to meet the needs of business and the data science solutions. Help shape Nike's central data science platform by identifying foundational data science capabilities and creating scalable, reusable, and customizable analytical components.Work with key business partners to understand and anticipate current and future business needs. Evangelize data science and help senior leadership identify business areas where data science will make the biggest impact. Evangelize the value of analytic products through effective storytelling and collaboration with key partners.Keep abreast of technology trends as well as emerging data science tools, techniques, and standard methodologies.Recruit, manage, mentor, and inspire data science team(s); managing performance, goals and development potential. Cultivate professional development opportunities. Help team members establish development goals, set goals with business priorities, develop for the future, and evaluate success.Create and foster an environment that values and promotes diversity and inclusion, autonomy, skill mastery, empowerment, transparency, innovation, and continuous learningWHO YOU WILL WORK WITHYou will be on the leadership team of Global Commercial Analytics Data Science team. You will collaborate closely with your peers in analytics, business partners, product management, and technology. Core partners include Demand and Supply Management (demand planning, supply and inventory planning) and Supply Chain.WHAT YOU BRINGOpen to remote work, except cannot work in CO, SD, VT, and WV. Candidates will be required to relocate.8 years of hands-on engineering experience developing BI systems and working with big dataBachelor's degree in Mathematics, Statistics, or related fieldA strong problem solving and analytical approach. Excels at critical thinkingAble to influence and communicate effectively, both verbally and written, with team members, business partners and leadershipDemonstrated ability to identify and resolve both people and process related issuesAble to influence critical business outcomes in a matrix based, global environmentExpert understanding of solution and technical designExcellent communication skills and experience in conveying complex information in easy-to-understand language.Experience in building successful data science teams. Experience leading multiple teams and the development of complex solutionsUnderstand the ecosystem of diverse skills that need to come together to make a large-scale data science project successful. Extensive and/or in-depth knowledge of data science, machine learning, and optimization modeling and algorithms.Demonstrated understanding of market demand and supply interactions. Familiarity with common data sets related to products, consumers, market performance and supply chain.Demonstrated experience in leading technical projects at enterprise scale and managing a team through all stages of Data Science/Analytics lifecycle.Strong familiarity with modern software practices, technologies and programming languages, such as Python, SQL, Git.Strong familiarity with the Agile development process and proven ability to prepare a project plan, communicate the plan to the team and break the work down to trackable tasks.Proven track record of effectively influencing and collaborating with multi-functional partners to identify new opportunities, solve complex business problems and build impactful analytics solutions.Deep knowledge and experience with a diversity of tools and platforms (Prefer experience w/ Python, Spark, AWS or other cloud environments). Able to quickly pick up new programming languages, technologies, and frameworksNIKE, 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.

Keywords: NIKE INC, Vancouver , Data Science Director, North America Commercial Analytics (Open to remote work, except, Executive , Vancouver, Washington

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