Senior Director Data Science
- Remote, United States
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Job details
- Experience
- Minimum of 10 years of management experience and 15 years of total work experience
- Posting language
- English
- Posted
Original job description
Who we are More efficient. More accurate. More accessible. Exol is bringing industry-leading automation to businesses of all sizes through an innovative warehouse-as-a-service model.
What we need Exol is seeking for a Senior Director, Data Science to join our Data Science team within our technology organization. Your job will be to build and lead a critical new data science capability, establishing the strategy, team, and roadmap that bring AI, advanced analytics, and intelligent decision-making into Exol’s technology platform and operations. What we do Exol’s technology platform brings together physical robotics, cloud technology, engineering, and operational capabilities. The Data Science team will add a new core capability focused on making that platform increasingly intelligent, efficient, and scalable through applied AI, machine learning, optimization, predictive analytics, and advanced data techniques. What you'll do
- Build the data science function from the ground up, defining its strategy, priorities, operating model, and roadmap.
- Develop and execute a practical AI and data science strategy focused on improving the intelligence and efficiency of Exol’s platform.
- Identify high-value opportunities to apply machine learning, AI, optimization, predictive analytics, and advanced data techniques across the business.
- Partner with engineering, technology, operations, and commercial leaders to turn complex business and operational challenges into scalable, data-driven solutions.
- Build, mentor, and lead a high-performing team of data scientists, machine learning specialists, and related technical talent as the organization scales.
- Establish the standards, tools, processes, and governance necessary to move data science solutions from experimentation into reliable production environments.
- Serve as a senior advisor to Exol leadership on how AI and data can drive operational efficiency and competitive advantage.
What you'll need
- Minimum of 10 years of management experience and 15 years of total work experience
- Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Operations Research, or a related quantitative discipline. Master’s degree or PhD preferred.
- Significant leadership experience in data science, AI, machine learning, advanced analytics, or related technical disciplines, ideally in complex technology or operational environments.
- Demonstrated experience building or substantially scaling a data science organization or capability, rather than solely inheriting an established team.
- Strong knowledge of applied machine learning, AI, optimization, predictive modeling, and data-driven decision systems.
- Experience bringing data science solutions into production environments where reliability, scalability, and measurable business outcomes matter.
- Strong business judgment and communication skills, with the ability to prioritize investments, recruit technical talent, and communicate sophisticated technical concepts and strategic trade-offs to executive and nontechnical audiences.
Our Environment
- Up to 30% of travel may be required. Employees must have a valid driver's license and the ability to drive and/or fly to client locations and company HQ.
- Employees may be required to use a personal credit card for business travel expenses, which are reimbursed based on the program guidelines. Eligible employees may receive a corporate credit card based on role and travel requirements, but a personal credit card may be needed during onboarding until the corporate card is issued.
About Exol Exol provides flexible and scalable outsourced warehouse services to meet the dynamic needs of the modern supply chain. We operate state-of-the-art distribution centers, allowing you to focus on your business while we handle the complexities of warehouse operations. For more information, visit www.exol.com.