Senior Director, Data Science (Commercial Analytics) (Open to remote work, except the following locations: SD, VT, and WV)

Key Skills

Microsoft-Excel, Java Programming, Design of Experiment, Python Programming, SQL, Large scale data processing

Job Description

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 FOR

At 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 Senior Director, Data Science will manage a team of data scientists to develop and implement new forecasting capabilities to enable data-driven and consumer-led decisions for Nike’s commercially oriented functions with a focus on supporting demand planning / digital demand sensing.

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 ON

As the Senior Director, Data Science you will:

• Set department’s strategy to enable the design of scalable, end-to-end analytics forecasting 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.
• Lead a team of data scientists. 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, align goals with business priorities, develop for the future, and evaluate success.
• 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.
• Create and foster an environment that values and promotes diversity and inclusion, autonomy, skill mastery, empowerment, transparency, innovation, and continuous learning

WHO YOU WILL WORK WITH

You 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) and Supply Chain.

WHAT YOU BRING

Education & Experience

• Bachelor's degree in Mathematics, Statistics, or related field or equivalent combination of education and experience
• 10 years of hands-on data science experience developing analytics systems and working with big data

Skills

• A strong problem solving and analytical mindset. Excels at critical thinking. Able to break complex problems into smaller parts.
• Experience in building and leading successful data science teams including mentorship and career development of team members.
• Understand the ecosystem of diverse skills that need to come together to make a large-scale data science project successful at enterprise scale. Extensive and/or in-depth knowledge of data science, machine learning, forecasting and optimization modeling and algorithms.
• Able to influence and communicate effectively, both verbally and written, with team members, business partners and leadership. Experience in conveying complex information in easy-to-understand language.
• Able to demonstrate leadership and influence critical business outcomes in a matrix based, global environment
• 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 frameworks
• Expert understanding of solution and technical design