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Senior Data Scientist, LTV & Segmentation

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Data & Analytics
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00512716 Requisition #

Who are we looking for

We are looking for an applied scientist who is passionate about understanding consumer behavior and crafting algorithms to better serve consumers in an e-commerce setting. As a Senior Data Scientist on the LTV & Segmentation team, you will develop state-of-the-art models to understand the customer lifetime value of Nike members worldwide, including Nike.com and Nike apps. Your models and insights will also help inform merchandizing and product development at Nike. You will glean meaningful insights from Nike’s vast trove of data, translate business problems into predictive models. We are looking for candidates with a proven history of innovation, collaboration and have a penchant for rigor in their work!

What will you work on

In this role, you will…

  • Ideate, develop and improve machine learning and statistical models that help Nike manage relationships between the Nike’s consumers and the brand.

  • Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to partnering with data engineering and our product organization to deploy production data science models, evaluate the A/B test results and deliver value in alignment with roadmap and business needs.

  • Perform exception EDA to better understand the dynamics of Nike’s business.

  • Adhere to software engineering standard methodologies and contribute to shared code repositories.

  • Document modeling work and present to stakeholders and other technical and non-technical partners.

  • Participate in the broader data science community within Nike, including data science labs, study groups and team activities.

Who will you work with

You will be a member of the LTV & Segments Data Science team where you will work cross-functionally with data scientists, engineers, analysts and product managers to deliver outstanding insights and functionality to improve Nike’s ability to best understand its consumers. The team is part of Nike’s Consumer Data Science team and Insights function. You will be a member of the broader data science team at Nike, and participate in our data science labs, study groups, team activities, and attend conferences. This role reports to the Director of LTV & Segments, Data Science.

What you bring

  • 3+ years of demonstrated experience defining and delivering effective machine learning and/or statistical models to serve business needs.

  • Experience developing models for production scale highly desirable.

  • Python proficiency required.

  • Excellent data wrangling skills. SQL required. Working knowledge of Spark is a plus.

  • Expertise in e-commerce is highly desired.

  • Experience with tree models, deep learning models, bandits, reinforcement learning and/or causal inference desired.

  • Superb communication skills and the ability to collaborate effectively cross-functionally required.

  • Experience presenting to both technical and non-technical audiences and a history of publications or presentations at conferences is a plus.

  • A degree in computer science, statistics, applied math, physics, or other quantitative field, (Masters or PhD) preferred.

Please note that the role can be in either NY or WHQ.      

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