Offer summary

Qualifications:

Master’s degree in Computer Science or Management Information Systems, 4 years of experience in a data-related occupation, Proficiency in Python, Machine Learning, and Statistics, Experience with SQL programming and Data Visualization..

Key responsibilities:

Design and develop methods to analyze diverse data sources

Interact with product teams to identify data analysis needs

Lead the development of software programs and algorithms for data processing

Communicate insights and findings to business managers and stakeholders.

Job description

Lead Data Scientist - Nike Retail Services Inc. - Beaverton, OR. Design, develop, and program methods, processes, and systems to consolidate and analyze structured/unstructured diverse sources to generate actionable insights and solutions for client services and product enhancement; build products for analysis; interact with product and service teams to identify questions and issues for data analysis and experiments; develop and code software programs, algorithms and automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources; identify meaningful insights from large data and metadata sources; interpret and communicate insights and findings from analysis and experiments to product, service, and business managers; lead others to solve complex problems; and anticipate customer needs. Telecommuting is available from anywhere in the U.S., except from AK, HI, MT, NC, ND, SD, VT, and WY.

Employer will accept a Master’s degree in Computer Science or Management Information Systems and four (4) years experience in the job offered or in a data-related occupation.

Experience must include:

• Python
• Machine Learning
• Statistics
• Business Intelligence
• Data Analytics
• SQL programming
• Data Visualization
• Time Series Forecasting.

Apply at www.Nike.com/Careers (Job# R-62512)

#LI-DNI

We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.

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