[Hiring] Data Scientist III REMOTE USA

Position: Data Scientist III

Date Posted: August 24, 2025

Industry: Technology / Consumer Products

Employment Type: Full Time

Experience: 3+ years in model building, machine learning, and deep learning

Qualification: PhD in Data Science or related field (or suitable combination of education, experience, and training)

Salary: $107,700 – $212,600 (varies by location and experience)

Location: Oregon, United States / REMOTE (except South Dakota, Vermont, and West Virginia)

Company: Nike

Description:
WE ARE HIRING

Nike is seeking a Data Scientist III to join the Reporting + Intelligence team within the Consumer Product & Innovation organization. This role focuses on leveraging data-driven insights and AI to optimize all stages of Nike’s apparel and footwear product creation lifecycle, working closely with cross-functional teams.

Responsibilities:

• Develop and implement statistical models and machine learning algorithms to analyze structured and unstructured datasets including merchandising, design, sales, consumer behavior, and market trends.
• Plan and execute end-to-end ML model experiment designs.
• Apply hypothesis testing, regression, A/B testing, and time-series forecasting to product creation decisions.
• Build and maintain predictive and prescriptive models, collaborating with ML engineers to convert prototypes into AI products.
• Work with product and engineering teams to integrate data-driven insights into merchandising plans and product design recommendations.
• Evaluate existing ML and statistical products to ensure accuracy and high-quality results.
• Conduct data and error analysis to improve model performance.
• Create clear visualizations to communicate findings and actionable recommendations.
• Identify and recommend analytical tools, research methods, and techniques.

Requirements:

• Strong foundation in statistics and mathematics, with practical application experience in probability, hypothesis testing, and modeling.
• Proficiency with cloud-based data science, machine learning, and visualization tools (e.g., Jupyter Notebooks, RStudio, pandas, PySpark, SageMaker, Databricks, MLFlow, Tableau, PowerBI).
• Expertise in Python, R, and SQL for data manipulation, analysis, and model building.
• Experience with machine learning algorithms, deep learning, neural networks, prediction, forecasting, and A/B testing.
• GenAI experience and building LLM prototypes.
• Ability to develop and run simulation and optimization tools to support decision-making.
• Strong data visualization skills and ability to present complex data to non-technical audiences.
• Independent, collaborative, and able to work with diverse teams.

Preferred:

• 3+ years of building machine learning and deep learning models.

Nike offers competitive compensation and opportunities to work on innovative projects that transform the consumer product landscape.

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