Lead Data Science Strategist for Supply Chain Optimization

Join Toptal’s Elite Network of Freelance Talent Toptal is an exclusive network of the world’s top freelance software developers, designers, finance experts, product managers, and project managers. As one of the fastest-growing fully remote networks globally, we empower professionals to thrive in their freelance careers while working with leading companies around the world. About the Client Our client is one of the world’s most recognized food and beverage producers, known for its iconic global brands and commitment to quality. Role: Senior Data Scientist We are seeking a hands-on data science leader with exceptional communication skills to drive machine learning and analytics initiatives in supply chain and route management. This role combines technical depth with business fluency to deliver high-impact insights in a fast-moving, strategic program. General information: This position leads a cross-functional team within a transformation program focused on cost efficiency and service quality. The team works closely with business stakeholders to solve complex logistics challenges using data science and AI. With the project in active build, the role offers significant influence over how advanced analytics inform operational decisions. Candidates must excel at translating technical solutions into compelling business narratives and be comfortable working directly with executive and operational teams. This role is hybrid, requiring the ability to work onsite near Dallas every other week and maintain close collaboration with teams operating in Central Standard Time (CST). Task and deliverables: • Lead and communicate the end-to-end development of machine learning solutions for logistics optimization • Translate ambiguous business questions into structured data science projects with clear objectives and success criteria • Deliver articulate, actionable insights through presentations, dashboards, and written documentation tailored to executive and operational audiences • Guide the modeling lifecycle—from prototyping through deployment—ensuring technical integrity and business relevance • Collaborate across engineering, product, and business teams to operationalize analytics and drive adoption • Coach and support team members in both technical execution and effective stakeholder engagement Required experience: • Required: Demonstrated leadership in applied machine learning or AI projects with real-world impact • Required: Excellent communication skills, including the ability to simplify technical topics for business stakeholders and influence decisions • Required: Strategic mindset with the ability to align analytics work with business priorities and operational workflows • Nice to have: Experience in supply chain, logistics, or route optimization domains • Nice to have: Proficiency with tools such as demand forecasting, geospatial modeling, or network optimization Additional Details • Location: Hybrid in Plano, Texas, United States • Overlap: We have two teams available, one will overlap with CST, the second with CET • Type: 40h/week Contract • Duration: 9–12 months • Authorization: Applicants must be authorized to work in their country of residence without employer sponsorship