Senior Data Scientist

We are seeking a strategic and highly technical Senior Data Scientist to partner closely with Sourcing as we transition from a reactive, operational model to a predictive, autonomous system. This role serves as the critical link between data discovery, business trends, and execution. Driving smarter decision-making and maximizing ROI through advanced analytics and machine learning.

As a key leader in our Sourcing Evolution initiative, you will help build a self-healing supply chain powered by predictive orchestration and ML-driven optimization. You’ll leverage deep expertise in delivery sourcing, customer order data, and supply chain trends to improve service, speed, capacity, and cost efficiency.

Key Responsibilities

Solution Development (35%)

• Design and develop probabilistic and predictive models to support expanded fulfillment modes, including high-density logistics and complex distribution center deliveries
• Build dynamic decisioning systems to enable real-time “mode switching” based on congestion, service levels, and total landed cost
• Translate model outputs into actionable recommendations that improve execution velocity and sourcing margin
• Lead development of ML-driven solutions for autonomous sourcing and optimization

Project Leadership & Team Support (30%)

• Set priorities and provide technical direction for data science initiatives within the Sourcing domain
• Mentor and coach junior data scientists; contribute to hiring and team development
• Ensure alignment of data science efforts with broader “Future of Sourcing” strategy and OKRs
• Act as a central driver of execution across multiple high-impact projects

Business Collaboration (20%)

• Partner cross-functionally to identify and prioritize opportunities to optimize fulfillment performance (e.g., on-time delivery, completion rates)
• Translate complex supply chain challenges into scalable technical solutions
• Educate stakeholders on advanced analytics and data science capabilities
• Build strong relationships with business partners to enable adoption of data-driven solutions
• Identify new opportunities to leverage data science as a competitive advantage

Technical Innovation & Development (15%)

• Research and apply emerging data science methodologies, including ML agents and advanced optimization techniques
• Develop reusable data products, algorithms, and documentation to scale impact across the organization
• Establish best practices for data analysis, modeling, and experimentation
• Contribute to a library of reusable, well-documented code and analytical frameworks

Required Qualifications

• Bachelor’s or Master’s degree in a quantitative field (Computer Science, Mathematics, Statistics, Operations Research, or related)
• 6+ years of experience in data science, analytics, or business intelligence
• Strong experience working with large datasets and building predictive models
• Proficiency in Python and SQL (e.g., BigQuery or similar platforms)
• Experience with data visualization tools (e.g., Tableau)
• Proven ability to translate complex data insights into business impact

Preferred Qualifications

• PhD in a quantitative field
• Deep domain expertise in supply chain, logistics, or delivery sourcing
• Experience with prescriptive modeling (optimization, recommendation systems, NLP)
• Demonstrated success identifying high-impact opportunities through data mining and predictive analytics
• Experience building or working with autonomous systems or ML-driven decision engines

What You’ll Bring

• Strong problem-solving skills with a focus on delivering measurable business outcomes
• Ability to operate at both strategic and hands-on technical levels
• Excellent communication skills, with experience presenting to senior leadership
• A passion for innovation and building scalable, data-driven systems