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Nike Data Scientist, Activity Experience Research in Beaverton, Oregon

Qualifications

  • Advanced quantitative degree in Statistics, Mathematics, Computer Science, Data Science, or related field.

  • 3 years of relevant professional experience.

  • Experience in sport psychology, habit formation, and user engagement a plus.

Required Skills

  • Strong problem solving and analytical mindset.

  • The ability to think creatively with data, formulate and get tractions around new ideas, and bring a new perspective to business and engineering partners.

  • Implementation experience in digital optimization, A/B and multivariate test implementation, analysis and business reviews.

  • Able to influence and communicate effectively, both verbally and written, with team members, business stakeholders and leadership.

  • Experience working with real-world, structured and unstructured data.

  • Ability to execute on and give feedback in multiple data environments involving complex joins, data cleaning, and feature creation using SQL or SQL based languages (Hive).

  • Core mathematical ability to apply state-of-the-art machine learning algorithms and/or statistical modeling in a programming language like R or Python to understand patterns and provide insights is required.

  • Demonstrated skill set to work with analytics toolkits on large data sets.

  • Excellent communications skills, in particular, the ability to communicate technical content to general audience in presentation and meeting format.

  • Prior experience synthesizing and packaging complex analyses and delivering results to non-technical audiences including senior leadership teams.

  • Able to quickly pick up new programming languages, technologies, and frameworks.

  • In-depth background in mathematics, statistics, or a related field.

  • In-depth knowledge of applied data science.

  • Ability to work in a multi-cultural environment and to multi-task across different functions of the business, and switch workstreams and handle many different levels of requests.

Preferred Skills

  • Leadership level presentation and communication experience

  • Consumer experience with Nike digital apps (NTC, NRC, SNKRS, Nike App)

  • Knowledge of Nike’s physical merchandise and company history

Working at Nike World Headquarters in Beaverton OR, this role sits within the Nike Direct Analytics organization, the Center of Excellence for consumer analytics at Nike. The Senior Data Scientist will join a team of data scientists that are embedded within the Engagement and Activity product teams, working on apps such as Nike Run Club (NRC) and Nike Training Club (NTC). They will further the data science and analytics strategy, working to drive measurable impact in multiple classifications of business success.

The work of this team includes inspiring consumers around the world towards fitness goals, traditional e-commerce shopping, driving adoption of our latest digital innovations, as well as playing a key role in understanding the role between engagement and commerce. This role is at the center of what it means to practice data science at Nike; inspiring athletes* to improve their lives, showcasing innovation, and impacting an evolving business strategy.

Working at Nike is a unique opportunity and we are looking for a professional who is passionate about the Nike brand, energetic and proactive, and who thrives on working with and applying data and technology. Are you ready to make a career-altering difference in driving one of the world’s largest fitness brands to new digital heights?

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, protected veteran status, or disability. NIKE is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the employment process, please call +1 503-671-4156 and let us know the nature of your request, your location and your contact information.

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