Data Scientist III (Remote Work Option, Multiple Openings) at Nike

Beaverton, Oregon, United States

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$107,700 – $212,600Compensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Apparel, Footwear, Consumer Products, RetailIndustries

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 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

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 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

Skills

Statistical Analysis

Machine Learning

Predictive Modeling

Exploratory Data Analysis

ML Model Development

Structured Data

Unstructured Data

Python

SQL

Data Science

Nike

Designs and sells athletic footwear and apparel

About Nike

Nike designs, manufactures, and sells a variety of footwear, apparel, equipment, and accessories aimed at athletes, fitness enthusiasts, and everyday consumers. Their products are created to be stylish and performance-oriented, catering to the needs of a diverse clientele. Nike operates through multiple sales channels, including retail stores, online platforms, and third-party retailers, and enhances its brand image through endorsements from well-known athletes and sports teams. A key aspect of Nike's approach is its membership program, which offers exclusive access to products and content, fostering a deeper connection with consumers. Unlike many competitors, Nike places a strong emphasis on sustainability and corporate responsibility, integrating these values into its operations and product development. The company's goal is to continue growing by creating products that resonate with consumers while promoting positive social and environmental impact.

Beaverton, OregonHeadquarters

1964Year Founded

IPOCompany Stage

Consumer Software, Social Impact, Consumer GoodsIndustries

10,001+Employees

Benefits

Health Insurance

Remote Work Options

Flexible Work Hours

Risks

Emerging sportswear brands increase competition through digital marketing and direct sales.

Rising raw material costs could impact Nike's profit margins.

Consumer backlash over labor practices could harm Nike's brand reputation.

Differentiation

Nike integrates electronics into footwear for active recovery, enhancing product innovation.

The company capitalizes on retro designs, appealing to nostalgic consumers.

Nike's strong brand loyalty is bolstered by high-profile athlete endorsements.

Upsides

Nike's partnership with Oaklands Wolves boosts brand visibility among younger demographics.

Significant investments indicate strong investor confidence in Nike's growth prospects.

Nike's recognition as a socially responsible stock appeals to environmentally conscious investors.

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