Data Scientist III (Remote Work Option, Multiple Openings)

Nike, Inc.-posted about 1 month ago

Full-time • Mid Level

Remote • Beaverton, OR

5,001-10,000 employees

Leather and Allied Product Manufacturing

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We're looking for a Data Scientist III to join our Reporting + Intelligence team in the Consumer Product & Innovation organization. You will work with diverse cross-functional team members leveraging data-driven insights and AI to inform and optimize all stages of Nike's merchandising and apparel & footwear product creation lifecycle. You will partner with cross-functional teams to develop data-driven insights, predictive models, and optimization solutions for Nike's apparel and footwear product merchandising, design and development functions. Leveraging your deep expertise in statistical analysis, machine learning, and applied data science you will help solve complex problems across the apparel and footwear product lifecycle. You will be responsible for developing scalable models, conducting exploratory data analysis, and generating actionable insights that drive data-driven decisions for our merchants and creators.

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

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

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Data Scientist III (Remote Work Option, Multiple Openings)

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