Remote Data Science Manager Jobs
Remote Data Science Manager jobs are open across the U.S. at remote-first firms, distributed tech companies, and enterprise organizations hiring data leaders for fully distributed teams. Sectors including AbbVie, Known, and Centrl are actively filling these roles right now. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 66+ Remote Data Science Manager 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.
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Find JobsRemote Data Science Manager 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 manager jobs.
- 5+ years of experience in data science or machine learning with at least 2 years managing a team
- Proficiency in Python or R and familiarity with SQL for data querying and analysis
- Experience deploying machine learning models in production environments at scale
- Ability to communicate data science findings clearly to non-technical executive stakeholders
- Experience working with cloud platforms such as AWS, GCP, or Azure
- Bachelor's or master's degree in statistics, computer science, mathematics, or a related quantitative field
Tips for Your Remote Data Science Manager Job Search
Apply early to remote roles that fit
Migrate Mate lists remote data science manager openings from across the U.S. in one place. Search for roles that match your stack and team-size experience, then apply directly. Remote postings from distributed teams fill fast, so moving early matters.
Show async leadership on your resume
Remote hiring managers look for evidence you can lead data teams without in-person oversight. Quantify outcomes from distributed projects, name the async tools you used like Confluence, Jira, or Notion, and describe how you unblocked teammates across time zones.
Build a public portfolio of shipped work
Remote employers can't observe you day to day, so your GitHub, case studies, or published notebooks do the credibility work. Include end-to-end projects that show model deployment, stakeholder communication, and team coordination, not just exploratory analysis.
Prepare for the remote interview format
Distributed teams almost always interview asynchronously first, often with a take-home case or a recorded intro. Practice concise written and recorded answers that demonstrate strategic thinking without relying on whiteboard collaboration or body language to carry your points.
Remote Data Science Manager Jobs: Frequently Asked Questions
How do I get a remote data science manager job?
Target companies built around distributed teams, including remote-first SaaS firms, fintech companies, and digital health organizations, because they hire data science managers without requiring on-site presence. Remote employers screen hard for async written communication, self-directed project leadership, and the ability to unblock distributed data teams without daily standups. Demonstrating Python, SQL, and MLOps fluency alongside a portfolio of cross-functional projects gives your application a clear edge.
Which companies hire remote data science managers?
Employers currently hiring remote data science managers include AbbVie, Known, and Centrl, per current remote listings on Migrate Mate as of November 2026. Remote-first technology companies, distributed financial services firms, and digital health organizations make up the largest share of these openings because their teams are built to operate across time zones.
Can you get a remote data science manager job with no experience?
Yes, but remote data science manager roles with no prior management experience are hard to land because distributed teams need someone who can operate independently from day one. Early entry paths include leading a data squad on open-source or contract projects, managing junior analysts on a freelance basis, and building a public record of shipped work. Remote-first startups are more open to first-time managers who show strong async communication and a clear technical portfolio.
Do you need a degree for remote data science manager jobs?
Not always. Remote employers weigh demonstrated leadership of data teams, a portfolio of shipped models or analytics products, and proficiency in tools like Python, SQL, and cloud data platforms heavily alongside or instead of formal credentials. A master's degree in a quantitative field is common among candidates, but employers hiring remotely often prioritize what you've built and shipped over where you studied.
Which industries hire the most remote data science managers?
Remote data science manager roles concentrate in Technology & Software, Retail, and Insurance, based on current remote listings on Migrate Mate as of November 2026. Those sectors hire data science managers remotely because their product and revenue decisions depend on distributed data teams delivering continuous modeling and analytics without geographic constraints.
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