Remote Data Science Specialist Jobs
Remote Data Science Specialist jobs are in active demand across the U.S., with remote-first firms and distributed data teams consistently posting openings in sectors like technology, healthcare, and financial services. Employers hiring remote data science specialists 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 68+ Remote Data Science Specialist 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 Specialist Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Retail
- Insurance
- Science & Research
- Banking & Financial Services
What Employers Look For
The qualifications that appear most often in remote data science specialist jobs.
- Proficiency in Python and SQL for data manipulation and modeling workflows
- Experience building and deploying machine learning models in production environments
- Familiarity with cloud platforms such as AWS, GCP, or Azure for data infrastructure
- Strong ability to communicate analytical findings to non-technical business stakeholders
- Experience with data visualization tools such as Tableau, Power BI, or similar platforms
- Bachelor's or master's degree in statistics, computer science, mathematics, or a related field
Tips for Your Remote Data Science Specialist Job Search
Build a portfolio designed for async review
Remote hiring managers often review your work before they ever speak with you. Host projects on GitHub or a personal site with clear README files, documented methodology, and written summaries of your findings, so the work speaks for itself without a walkthrough.
Demonstrate written communication in every application
Remote data science specialist teams depend on written communication for sharing results and aligning stakeholders. Craft cover notes and project descriptions that explain your analytical decisions clearly in plain language, since remote employers treat writing quality as a direct signal of how you'll communicate on the job.
Apply early to remote roles that fit
Migrate Mate lists remote data science specialist openings from across the U.S. in one place, so you can find roles that match your skills and apply directly without sorting through location-filtered results. Early applicants get more attention before a posting fills.
Signal fluency with remote data tooling
Mention cloud platforms like AWS, GCP, or Azure, collaborative notebooks like Databricks or JupyterHub, and async communication tools in your materials. Remote employers want evidence you can operate inside their distributed stack from day one, not learn it after onboarding.
Remote Data Science Specialist Jobs: Frequently Asked Questions
How do I get a remote data science specialist job?
Target companies that already operate distributed data teams, such as remote-first SaaS firms, digital health companies, and fintech organizations, because they have established workflows for remote data work. Remote employers screen for self-direction, clear async written communication, and proficiency in Python, SQL, and cloud-based data platforms. A portfolio of end-to-end projects you can walk through on a video call gives you a concrete edge over candidates who list skills without evidence.
Which companies hire remote data science specialists?
Companies hiring remote data science specialists right now include AbbVie, Known, and Centrl, based on current remote listings on Migrate Mate as of November 2026. Remote-first technology firms, distributed healthcare analytics teams, and national financial services companies account for a large share of these openings.
Can you get a remote data science specialist job with no experience?
Yes, but remote entry-level data science specialist roles are harder to land because you must demonstrate independent problem-solving from day one without in-office guidance. Remote-first startups and analytics consulting firms are more open to junior candidates than large enterprises. A publicly shared project portfolio, contributions to open-source data work, or a completed capstone project can substitute for direct professional experience and show remote employers you can deliver without supervision.
Do you need a degree for remote data science specialist jobs?
Not always. Many remote employers weigh demonstrated skills, a strong project portfolio, and measurable results more heavily than a formal credential for data science specialist roles. A bachelor's degree in statistics, computer science, or a related field is still common in job postings, but bootcamp graduates and self-taught candidates who can show real analytical work do get hired, particularly at remote-first companies with output-focused cultures.
Which industries hire the most remote data science specialists?
The sectors hiring the most remote data science specialists are Technology & Software, Retail, and Insurance, based on current remote listings on Migrate Mate as of November 2026. These industries rely on distributed teams that need data science specialists who can collaborate asynchronously and ship analysis without being co-located with stakeholders.
See All 68 Remote Data Science Specialist Jobs
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