Remote Data Science Director Jobs
Remote Data Science Director jobs are open across the U.S. at remote-first firms and distributed teams in sectors from technology and fintech to healthcare and e-commerce. Employers hiring remotely right now include AbbVie, Known, and Centrl. Scan the live roles below and apply to whichever ones fit.
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Showing 4 of 67+ Remote Data Science Director jobs
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.
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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.
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.
#LI-MB1
#LI-Remote
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.
See All 67 Remote Data Science Director Jobs
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Find JobsRemote Data Science Director Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Retail
- Insurance
- Medical Devices
- Science & Research
What Employers Look For
The qualifications that appear most often in remote data science director jobs.
- 7 to 10 years of experience in data science with at least 3 in a people management role
- Proficiency in Python, SQL, and machine learning frameworks such as scikit-learn or PyTorch
- Experience building and deploying production-grade ML models in cloud environments like AWS, GCP, or Azure
- Bachelor's or master's degree in statistics, computer science, mathematics, or a related quantitative field
- Demonstrated ability to translate business problems into data science roadmaps and communicate findings to executives
- Familiarity with MLOps practices, model monitoring, and data pipeline tools such as Airflow or Databricks
Tips for Your Remote Data Science Director Job Search
Apply early to remote roles that fit
Migrate Mate lists remote data science director openings from across the U.S. in one place, so you can find roles that match your background and apply directly without sorting through mixed location listings.
Show async leadership in your portfolio
Remote employers need evidence you can lead without in-person context. Include writing samples, strategy memos, or documented frameworks that show how you've aligned distributed teams and communicated data roadmaps through written channels rather than meetings.
Target remote-first companies deliberately
Remote-first firms and distributed teams have built their data functions around location-independent leadership from the start. Prioritize these over companies that added remote as an option, because their processes, tooling, and culture are designed around the way you'll actually work.
Prepare for remote-specific interview questions
Remote data science director interviews consistently probe how you've managed distributed teams, resolved ambiguity without in-person cues, and kept stakeholders aligned across time zones. Prepare specific examples using tools like Slack, Notion, Confluence, or Looker in a fully async context.
Remote Data Science Director Jobs: Frequently Asked Questions
How do I get a remote data science director job?
Target remote-first companies and distributed teams that run data functions without a central office, because they're built for remote leadership from day one. Remote employers screen hard for self-direction, clear async written communication, and the ability to align cross-functional stakeholders without in-person context. Demonstrating that you've led distributed data teams, shipped measurable results independently, and communicated strategy through written documents gives you a concrete edge over candidates with only office-based experience.
Which companies hire remote data science directors?
Companies hiring remote data science directors right now include AbbVie, Known, and Centrl, based on current remote listings on Migrate Mate as of November 2026. Remote-first technology firms, distributed fintech platforms, and digital health organizations are among the most consistent sources of these openings, since their operating model depends on leaders who can run data functions across time zones.
Can you get a remote data science director job with no experience?
Yes, but remote data science director roles are harder to land without experience because remote employers need someone who can operate independently from day one without in-office oversight. Entry points include leading a data function at an early-stage remote startup, building a visible portfolio of end-to-end projects, and demonstrating written communication skills that replace the clarity normally built through in-person collaboration. Showing autonomous delivery of measurable outcomes opens the door more than credentials alone.
Do you need a degree for remote data science director jobs?
Not always. Remote employers hiring data science directors weigh demonstrated ability to lead teams, define data strategy, and deliver business impact more heavily than a specific credential. A strong portfolio of shipped projects, measurable outcomes, and evidence of cross-functional leadership can substitute for a formal degree at many remote-first companies, particularly in technology and product-led organizations where results are more visible than titles.
Which industries hire the most remote data science directors?
Remote data science director roles concentrate in Technology & Software, Retail, and Insurance, based on current remote listings on Migrate Mate as of November 2026. These sectors rely on distributed teams that process large volumes of data across geographies, making remote data science leadership a practical fit rather than an exception to their operating model.
See All 67 Remote Data Science Director Jobs
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