Remote Data Science Lead Jobs
Remote Data Science Lead jobs are in active demand across the U.S., with remote-first firms and distributed tech, finance, and healthcare teams posting consistently. Employers hiring right now include AbbVie, Known, and Centrl. See the openings below and apply to the ones that match your experience.
Find Remote Data Science Lead JobsOverview
Showing 5 of 66+ Remote Data Science Lead 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.
#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.
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 66 Remote Data Science Lead Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote Data Science Lead JobsRemote Data Science Lead 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 lead jobs.
- 5+ years of experience in data science with at least 2 years in a lead or senior role
- Proficiency in Python or R along with SQL for data manipulation and modeling workflows
- Experience deploying machine learning models to production environments at scale
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for data infrastructure
- Demonstrated ability to mentor junior data scientists and manage cross-functional projects
- Graduate degree in statistics, computer science, mathematics, or a closely related field
Tips for Your Remote Data Science Lead Job Search
Build an async-ready work sample
Remote employers evaluate whether you can lead and communicate without real-time check-ins. Package a past project as a written case study, including your decision-making process, the tools you used, and the outcome. This replaces the whiteboard interview and signals distributed-team readiness.
Target remote-first companies specifically
Remote-first firms have built their entire data workflow around distributed collaboration, so you'll join a team with established async practices rather than retrofitting office norms. Prioritize companies whose engineering and data teams are explicitly remote-first when reviewing openings.
Apply early to remote roles that fit
Migrate Mate lists remote data science lead openings from across the U.S. in one place, so you can find roles that match your stack and seniority level and apply directly. Applying in the first few days of a posting gives you a real advantage before the pipeline fills.
Sharpen your written technical communication
Remote data science leads present findings, align stakeholders, and document decisions almost entirely in writing. Practice writing crisp model summaries and recommendation memos. Employers will notice if you communicate ambiguity, tradeoffs, and results clearly in writing during the interview process itself.
Remote Data Science Lead Jobs: Frequently Asked Questions
How do I get a remote data science lead job?
Remote data science lead roles go to candidates who can demonstrate both technical depth and the ability to lead distributed teams without hand-holding. Remote employers screen hard for self-direction, clear async written communication, and experience shipping models in production. Showcasing work through GitHub, case studies, or published results matters more than a polished resume alone, and familiarity with tools like dbt, Airflow, or MLflow signals readiness for distributed workflows.
Which companies hire remote data science leads?
Remote data science lead roles are posted by AbbVie, Known, and Centrl and others right now, based on current remote listings on Migrate Mate as of November 2026. Remote-first technology companies, fintech scale-ups, and distributed healthcare and analytics firms make up the bulk of hiring for this role.
Can you get a remote data science lead job with no experience?
Yes, but remote data science lead roles are harder to break into without experience because remote employers expect you to work independently and guide others from day one. Early-career candidates do best targeting remote-first startups or smaller distributed teams where the scope is narrower. A strong project portfolio, open-source contributions, and demonstrated async communication skills can open doors when direct experience is thin.
Do you need a degree for remote data science lead jobs?
Not always. Many remote employers weigh demonstrated skills, portfolio work, and shipped projects alongside or instead of a formal degree for data science leads. What matters most is your ability to lead a remote data function, translate business problems into models, and communicate results clearly to stakeholders across time zones. A degree helps, but a strong record of real work and outcomes carries significant weight.
Which industries hire the most remote data science leads?
Most remote data science lead openings sit in Technology & Software, Retail, and Insurance, per current remote listings on Migrate Mate as of November 2026. These sectors favor distributed team structures that make hiring remote data science leads a practical default rather than an exception.
See All 66 Remote Data Science Lead Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote Data Science Lead Jobs