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NIKE INC: Sr. Data Scientist, Content Planning Open To Remote Work, Except The Following Locations: Co, Sd, Vt, And Wv

Nike Inc

This is a Contract position in Beavercreek, OR posted December 13, 2021.

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.Who we are looking forWe are looking for candidates who are excited to apply data science to inform all stages of content planning, from the overall portfolio mix, to individual articles, photos and videos. As a Senior Data Scientist on the Content Planning Data Science team, you will develop, deploy and iterate on models and data products aimed at helping Nike plan and optimize the content that shows up in our digital experiences. If you are a data scientist who not only approaches research problems with scientific rigor, but who can also design, build and take ownership of production models and apply strong business sense when taking on complex projects, we want to talk with you!What you will work onIn this role you will…Ideate, develop and improve machine learning and statistical models that help maximize revenue, retention and engagement with digital contentUnderstand, describe, and predict the behavior of our content consuming members and response to and value of past and proposed contentContribute to all stages of the model lifecycle create prototypes; wrangle data; partner with Engineering and Product to deploy models to production; evaluate online experimental results; iterate on and maintainmodelsCollaborate closely with partners at all levels, technical and non-technical, to deliver maximum business value with models and data products; share knowledge, socialize results and build relationshipsParticipate in the data science community at Nike through data science lab meetings, study groups, knowledge sharing, etc.; stay abreast of trends in the state of the art and broader data science communityWhat you bringMust Have:2+ years of experience delivering effective machine learning and/or statistical models to serve business needs; ability to understand, utilize and innovate on state-of-the art machine learning algorithms and/or statistical modelingDeep Python proficiencyExperienced level of data wrangling skills SQL, Spark / PySpark, Hive, pandas, etc plus a strong understanding of Big DataExperience deploying and maintaining models in production for internal users or consumersExcellent data visualization skills and communication with technical and non-technical partners, and a love for collaborationAbility to navigate a large, sophisticated, matrixed organizationNice to Have:A degree in computer science, engineering, statistics, economics or other quantitative field; advanced degree preferredExperience delivering and owning production models at scaleExperience with computer vision, image and video creation using AI, predictive and temporal modeling, causal machine learning, forecasting, optimizationExperience with AWS or similar cloud providerDerive model outputs to show up in internal tools and reporting tools like Adobe platform.Open to remote work, except cannot work in Colorado, South Dakota, Vermont, and West Virginia. These candidates will be required to relocate.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.

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