People, Person, Apparel, Clothing

Senior Data Scientist

Senior Data Scientist

Beaverton | Oregon | United States

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, it's about each person bringing skills and passion to a challenging and constantly evolving game.

Technology

Nike, Inc. Technology is responsible for making the world's largest sport brand run faster, smarter and more securely. From infrastructure to security and supply chain operations, Technology specialists drive growth through top-flight hardware, software and enterprise applications. Global Technology aggressively innovates solutions to drive growth while creating and implementing tools that help make everything else in the company possible.
Description

You are passionate about data science and its ability to transform Nike's business. You are creative, tenacious, and motivated by your ability to make a large business impact on a multi-billion-dollar organization. You are an expert in data science methodologies with experience in wholesale and retail. You have a voracious appetite to test hypotheses and land complex analyses, then translate the findings into business-relevant insights that you evangelize with stakeholders in the North America geography ranging from high-level executives to planners.

As new data science needs evolve, you are both listening and driving the dialogue because you know what your stakeholders need. You address their pain points by producing simple, elegant solutions - and your ruthless focus on practicality means that you're able to support regular value drops. Part of the magic you bring to this role is your excellent technical understanding: you know the gory details about which methods are appropriate and how they can be accurately and robustly applied.

RESPONSIBILITIES:


  • Exceptional Data Analysis | Analyze and profile available, reliable, and relevant data (internal and external) to uncover insights in support of scalable solutions. Clean, prepare and verify the integrity of data for analysis.

  • Data Science Expertise | Translate ambiguous statements into structured problem statements and testable hypotheses. Select and validate appropriate models to discover meaningful patterns and insights. Define and track model accuracy, ensuring model relevance and reliability; enhance the model as needed.

  • Raise the Bar | Stay abreast of and apply industry and technology trends as well as emerging tools and techniques relevant to discipline. Lead the team in adoption of established best practices. Cultivate a continuous learning environment within the team and advanced analytics community through persistent development of new skills and sharing of knowledge through mentorships and contributions to the open source community.

  • Focus on Adoption | Build trust and drive business adoption by demystifying solution intricacies for stakeholders. Create clear, user-friendly documentation to support business usage of the solution.

  • Stakeholder Partnership | Collaborate with key stakeholders to explore opportunities to develop data driven solutions by developing and utilizing statistical modeling and machine learning algorithms. Create clear and structured deliverables to communicate meaningful insights and prescribe actionable data driven business solution recommendations.

  • Win as a Team | Collaborate with a team of data scientists, solutions delivery managers, engineers, and business stakeholders to take an opportunity or pain point from concept to scaled solution. Provide guidance to team members on work. 


Qualifications

  • Bachelor's Degree in Engineering, Statistics, Computer Science, Mathematics, Economics, or other relevant quantitative field.
  • One of the following alternatives may be accepted:
  • PhD or Law + 3 yrs;
  • Masters + 4 yrs;
  • Associates + 6 yrs;
  • High School + 7 yrs exp
  • 6 years of relevant professional experience.
  • Excellent understanding of data structures and algorithms.
  • Excellent understanding of solution and technical design.
  • Proven record of collaborating with and delivering results across cross-functional teams, with superb teamwork skills and the capacity to manage several concurrent tracks of work against aggressive timelines.
  • Outstanding problem-solving skills and demonstrated ability to deliver consistent, high-quality analysis to solve complex problems.
  • Experience, interest, and adaptability to working in a fast-paced, ambiguous environment.
  • Exceptional interpersonal and communication skills, and ability to communicate complex concepts as high-impact presentations to senior and business audiences.
  • Must excel working in team-oriented roles that rely on ability to collaborate with others.
  • Able to quickly pick up new programming languages, technologies, and frameworks.
  • Thorough background in mathematics, statistics, or a related field.
  • Thorough knowledge of applied data science.
  • Significant expertise in machine learning algorithms and data science methods.
  • Excellent data wrangling experience with structured and unstructured data.
  • Experience with various programming and scripting languages.
  • Experience with data bases, processing and storage frameworks.
  • Experience with various hyperparameter tuning approaches.
  • Understanding and experience with CRISP-DM and Agile data science framework.
  • Ability to lead and influence others.
  • Ability to lead an agile team.


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.

Job ID 00423561

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