(USA) Data Scientist III

About the role

The (USA) Data Scientist III plays a critical role in leveraging advanced analytical and statistical methods to extract actionable insights from complex data sets. This position involves developing, validating, and deploying predictive models while ensuring data quality and governance standards are met. The role requires proficiency in programming languages and data visualization tools to support business decision-making and strategy.

What you'll do

• Apply advanced statistical, analytical, and machine learning techniques to solve merchandising, pricing, and member behavior challenges.
• Conduct exploratory data analysis and develop data-driven insights to identify opportunities related to assortment, pricing, promotions, and category performance.
• Partner with merchandising, pricing, and cross-functional teams to translate business objectives into analytical frameworks and actionable recommendations.
• Develop and maintain predictive and descriptive models to support decision-making, demand forecasting, pricing optimization, and business planning initiatives.
• Utilize tools and programming languages such as Python, SQL, and cloud-based data platforms to extract, analyze, and optimize large datasets.
• Create dashboards, visualizations, and executive-ready reports to communicate insights, performance trends, and business recommendations effectively.

About the team

The merchandising analytics team transforms complex data into actionable insights that guide product selection, placement, and pricing strategies to improve business outcomes. Leveraging advanced data science, machine learning, and predictive modeling with tools such as Python and data visualization platforms, the team builds scalable analytical models. Collaborating closely with business stakeholders, members ensure alignment with organizational goals by delivering clear, impactful insights. The team supports continuous improvement and informed decision-making across merchandising functions, driving data-driven strategies that contribute to overall business success.

Minimum Qualifications

• Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics or related field.
• Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field.
• Option 3: 4 years' experience in an analytics or related field.

Preferred Qualifications

• Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch).
• We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.