Data Scientist III (Remote Work Option)

Nike-posted 5 months ago
$107,700 - $212,600/Yr
Full-time • Mid Level
Remote
Leather and Allied Product Manufacturing
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Become a Part of the NIKE, Inc. Team. NIKE, 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. Open to remote work except in South Dakota, Vermont and West Virginia. 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. Actual salary will vary based on a candidate's location, qualifications, skills and experience.

  • Developing and implementing statistical models and machine learning algorithms to analyze relevant structured and unstructured datasets and variables.
  • Developing ML models and planning end-to-end ML model experiment design.
  • 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 into 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.
  • 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., Jupyter Notebooks, RStudio, pandas, PySpark, SageMaker, Databricks, MLFlow, Tableau, PowerBI.
  • Expertise in languages like Python, R, and SQL for data manipulation, analysis and model building.
  • Machine learning algorithms and techniques.
  • 3+ years of experience building models.
  • 3+ years of 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.
  • PhD in data science or related field. Will accept any suitable combination of education, experience and training.
  • Generous total rewards package.
  • Casual work environment.
  • Diverse and inclusive culture.
  • Electric atmosphere for professional development.
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