Remote Senior Data Science Engineer Jobs
Remote Senior Data Science Engineer jobs are open across the U.S. in technology, finance, healthcare, and enterprise software, at remote-first companies and distributed teams that depend on senior data science engineers to build and own production-grade ML systems. Employers hiring remotely right now include AbbVie, Known, and Centrl. Find a role that fits below and apply directly.
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Showing 5 of 66+ Remote Senior Data Science Engineer 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 Senior Data Science Engineer Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Insurance
- Retail
- Medical Devices
- Science & Research
What Employers Look For
The qualifications that appear most often in remote senior data science engineer jobs.
- 5 or more years of experience in data science, machine learning, or a related engineering discipline
- Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
- Hands-on experience designing and deploying production-grade machine learning pipelines
- Strong command of distributed computing tools including Spark, Databricks, or equivalent platforms
- Experience with cloud platforms such as AWS, Google Cloud, or Azure for data and model infrastructure
- Bachelor's or master's degree in computer science, statistics, mathematics, or a closely related field
Tips for Your Remote Senior Data Science Engineer Job Search
Apply early to remote roles that fit
Migrate Mate lists remote senior data science engineer openings from across the U.S. in one place so you can find roles that match your stack and seniority and apply directly. Remote postings from in-demand employers fill fast, so applying early matters.
Build a portfolio that shows production ML work
Remote employers can't watch you work, so your public portfolio does that job for them. Document end-to-end projects: problem framing, data pipeline choices, model selection rationale, and business outcomes. Code on GitHub with clear READMEs signals the async communication habits remote teams need.
Demonstrate async collaboration skills explicitly
Remote senior data science engineers are expected to drive alignment without synchronous standups. Highlight experience writing design documents, async code reviews, and stakeholder updates in writing. Teams hiring remotely screen for this more carefully than technical skills alone.
Target remote-first companies and distributed teams
Remote-first firms and companies with fully distributed engineering teams have built their workflows around remote collaboration, which makes onboarding, tooling, and expectations clearer from day one. Look for roles where the entire team is remote, not just the position.
Remote Senior Data Science Engineer Jobs: Frequently Asked Questions
How do I get a remote senior data science engineer job?
Target remote-first companies and distributed engineering teams, which hire senior data science engineers without geographic restrictions and expect candidates who own work end-to-end. Remote employers screen heavily for self-direction, strong written communication, and the ability to drive projects asynchronously. A portfolio showing deployed models, documented decisions, and measurable business impact gives you a clear edge over candidates with credentials alone.
Which companies hire remote senior data science engineers?
Companies hiring remote senior data science engineers right now include AbbVie, Known, and Centrl, based on current remote listings on Migrate Mate as of November 2026. Remote-first firms and distributed teams across technology, fintech, and healthcare tend to hire most actively for this role.
Can you get a remote senior data science engineer job with no experience?
Yes, but remote entry roles are harder to land because employers expect you to work independently from day one without in-person support. Remote-first startups and smaller distributed teams are more open to early-career candidates who show strong fundamentals. A public GitHub portfolio, contributions to open-source ML projects, and demonstrated async communication skills can substitute for formal work history in those environments.
Do you need a degree for remote senior data science engineer jobs?
Not always. Many remote employers weight demonstrated skills, production ML experience, and a portfolio of shipped work over formal credentials. A degree in a quantitative field helps, particularly at larger companies with structured hiring, but remote-first firms and early-stage teams routinely hire senior data science engineers who can show results through public projects, professional work, or contract contributions.
Which industries hire the most remote senior data science engineers?
Most remote senior data science engineer openings sit in Technology & Software, Insurance, and Retail, per current remote listings on Migrate Mate as of November 2026. These sectors run distributed data and ML teams that operate effectively without centralized offices, making remote hiring a standard practice rather than an exception.
See All 66 Remote Senior Data Science Engineer Jobs
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