Principal Data Scientist, Value Chain Optimization (Ref: 191387)

Our client is a leading force in the retail sector, dedicated to making stylish fashion accessible through their diverse brands. With an emphasis on individuality, sustainability, and inclusivity, they inspire customers to express themselves authentically. The organization is composed of a global team passionate about innovation, social responsibility, and creating positive change for its customers and communities.

About the Role

This organization is looking for a talented Principal Data Scientist to take the lead in developing and enhancing AI Systems for personalized customer experiences in the digital retail space. Collaborating with cross-functional teams, you will play a key role in ensuring these experiences are engaging and tailored to the preferences of individual customers. The ideal candidate will bring deep technical expertise and a strategic vision for overseeing complex, real-time personalization AI systems. This position is available in San Francisco, Pleasanton, or Dallas.

• Build, validate, and maintain ML/AI models that drive improvements across the value chain (e.g., demand forecasting, inventory optimization, dynamic replenishment, transportation efficiency).

• Develop algorithms and automated processes that integrate, cleanse, and evaluate large datasets from diverse operational systems — including procurement, manufacturing, logistics, and sales.

• Design and deploy optimization frameworks to simulate supply scenarios, evaluate trade-offs (cost, speed, sustainability), and recommend data-driven decisions.

• Collaborate with cross-functional teams in operations, planning, sourcing, and technology to develop scalable data pipelines and modeling workflows.

• Communicate actionable insights from large and complex datasets to business stakeholders, influencing strategic planning and execution.

• Provide technical leadership on model architecture, data science best practices, and AI governance.

• Set strategy and priorities for the data science function supporting value chain analytics, including planning and resource allocation.

• Direct experience building predictive or optimization models for supply chain, value chain, or manufacturing operations.

• Advanced proficiency in Python, R, Spark, Hive, and SQL for large-scale data manipulation in both on-prem and cloud environments (e.g., Azure, AWS, GCP).

• Strong knowledge of machine learning and statistical modeling techniques, including regression, time-series forecasting, boosted trees, neural networks, and reinforcement learning.

• Familiarity with optimization and simulation methods such as mixed-integer programming, heuristics, or Monte Carlo simulation.

• Proven ability to translate analytical findings into operational actions and measurable business impact.

• Strong collaboration and communication skills; able to work effectively with engineering, operations, and executive stakeholders.

• Experience leading data-driven initiatives that influence supply chain or value chain transformation.

• Extensive health, dental, and vision insurance plans to suit your well-being.
• Generous paid time off and holiday policies that promote work-life harmony.
• A retirement savings plan with employer matching to secure your financial future.
• Employee discounts available across all brands, coupled with an encouraging workplace culture that supports professional development.

This position represents a remarkable opportunity for skilled individuals eager to leverage data science to make a meaningful impact in the retail industry. Our client champions innovation, bold leadership, and a shared vision to transform customer experiences through advanced analytics and technology.