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Data Scientist III (Remote Work Option, Multiple Openings)

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Nike

Nov 18

Applications are closed

  • Job
    Full-time
    Mid Level
  • IT & Cybersecurity
  • Beaverton
    Remote

Requirements

  • PhD in Data Science, Applied Statistics or related field. Will accept any suitable combination of education, experience and training.
  • Strong statistical and mathematic foundation. Solid understanding and practical application of statistical concepts, probability and hypothesis testing
  • Extensive experience with cloud tools for data science, machine learning and modeling, and visualization e.g., PySpark, Databricks, MLFlow, Jupyter Notebooks, RStudio, pandas, SageMaker, Tableau, PowerBI
  • Expertise in languages like Python, SQL, and R and for data manipulation, analysis and model building
  • Machine learning algorithms and techniques - you have a tool belt of techniques you can draw from and pick the right one for the business problem at hand
  • Demonstrated ability to proactively engage with business stakeholders, listen deeply to business challenges, and translate them into well-defined data science problems using the most effective analytical techniques.
  • Systems thinker—skilled at seeking to understand the broader context, inputs, dependencies, and external effects that shape business problems, ensuring solutions are robust and impactful.
  • 3+ years of experience building models including deep learning, neural network algorithm development
  • Prediction, Forecasting, A/B testing, complex modeling and data analyses
  • GenAI and building LLM prototypes
  • Developing and running simulation and optimization tools to support decision making
  • Ability to visualize data in the most effective way possible
  • Ability to communicate complex data in a simple, actionable way to non-technical audiences and leadership teams
  • Ability to work independently and with a diverse team

Responsibilities

  • Developing and implementing statistical models and machine learning algorithms to analyze relevant structured and unstructured datasets and variables (Merchandising Product Lines and Assortments, Apparel & Footwear Design and Development, Sales, Consumer Behavior, Market Trends. etc.)
  • Developing ML models and planning end-to-end ML model experiment design
  • Understanding and translating business needs and objectives into the appropriate modeling technique
  • Applying hypothesis testing, regression, A/B testing and time-series forecasting to product creation decisions and timelines
  • Building and maintaining predictive/prescriptive models for scale working closely with ML Engineers to turn successful prototypes in to new AI products
  • Working closely with product and engineering teams to build, support, and scale these data-driven insights into product merchandising plans & assortments and product design recommendations
  • Evaluating existing ML and statistical products to ensure continued high-quality results and outputs
  • Performing data and error analysis to improve model performance
  • Creating clear and compelling visualizations to communicate findings and recommendations
  • Identifying and making recommendations on analytical tools, research tools, methods

FAQs

Do we support remote work?

Yes, we support remote work except in South Dakota, Vermont, and West Virginia.

What is the salary range for this position?

The annual base salary for this position ranges from $107,700.00 in our lowest geographic market to $212,600.00 in our highest geographic market.

How many Data Scientist III positions are available?

We are looking to hire four (4) Data Scientist III’s.

What qualifications are required for this position?

A PhD in Data Science, Applied Statistics, or a related field is preferred, along with strong statistical, mathematical, and programming skills. Relevant experience will also be accepted.

What technical skills are necessary for this role?

Candidates should have extensive experience with cloud tools for data science, machine learning and modeling, such as PySpark, Databricks, MLFlow, and languages like Python, SQL, and R.

What kind of projects will I be working on?

You will work on developing data-driven insights, predictive models, and optimization solutions for Nike's apparel and footwear product merchandising, design, and development functions.

Is there a focus on machine learning in this role?

Yes, the role requires experience with machine learning algorithms and techniques, including building models, deep learning, neural network development, and GenAI.

How much experience is required for this position?

A minimum of 3+ years of experience building models, including deep learning and complex data analyses, is required.

Will I have the opportunity to collaborate with others?

Yes, you will collaborate with peer data scientists, machine learning engineers, and product managers in cross-functional teams.

Are there accommodations available for the interview process?

Yes, we offer a variety of accommodations including screen readers, sign language interpreters, closed captioning, and other reasonable modifications as needed.

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Nike

Retail & Consumer Goods
Industry
10,001+
Employees
1972
Founded Year

Mission & Purpose

Nike is a multinational corporation primarily engaged in the design, development, manufacturing, and worldwide marketing and sales of footwear, apparel, equipment, accessories, and services. Their ultimate mission is to bring inspiration and innovation to every athlete in the world, where "if you have a body, you are an athlete." Nike's purpose is to create groundbreaking sport innovations, design products that help athletes of all levels reach their full potential, and promote an active and healthy lifestyle globally. Through their products and initiatives, Nike aims to empower athletes and inspire positive change in communities, fostering a culture of inclusivity, sustainability, and excellence in sports and beyond.

Benefits

  • Get Moving

    Whether you’re trying to move to a new city or just across one of NIKE’s campuses, we will help you get where you’re going — no matter the distance.

  • Fitness Fit For All

    Whether you’re just getting started or consider yourself a fitness pro, NIKE provides fitness opportunities and discounts for all levels and goals.

  • Financial Health

    NIKE offers competitive pay and robust retirement plans that meet you wherever you are in life and help you plan for future financial goals.

  • Health & Wellness

    NIKE’s got your back. With various life insurance and health care packages, we’ve got you covered.

  • Giving Back

    We believe in doing good on and off the field, which is why NIKE matches donations and rewards volunteer time to help you support the causes you are passionate about.