Data Scientist Jobs in Boston, MA
Data Scientist jobs in Boston are concentrated in the Longwood Medical Area, the Seaport District, and Kendall Square just across the Charles, with strong demand across life sciences, biotech, financial services, and technology. Employers hiring right now include XPO, Zoox, and Tempus. Scan the live roles below and apply to whichever ones fit.
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What you’ll need to succeed as a Senior Scientist, Data Science at XPO
- Bachelor’s degree or equivalent related work or military experience
- 2 years of experience in data science, operations research, or data analysis with a focus on AI-driven analytics, statistical modeling, machine learning, forecasting, or optimization
- Experience in at least one programming language such as Python, R, SQL, SAS, Spark, Java, etc., with practical applications in AI or ML projects
- Familiarity with AI techniques and machine learning algorithms, including supervised and unsupervised learning
- Strong communication skills with a knack for translating complex AI concepts into clear business insights
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or any related quantitative discipline
- A Master’s or PhD in Computer Science, AI, Data Science, or a related quantitative field
- years of hands-on experience in developing and deploying optimization solutions
- 5+ years’ experience in pricing optimization, demand forecasting, utilizing statistical modeling, machine learning, and reinforcement learning techniques.
- Experience with causal inference and measurement methods for analyzing the impact of pricing algorithms on revenue
- Experience with reinforcement learning for pricing optimization, decision-making, and consumer behavior modeling
- Proven track record of delivering AI-enabled insights that improved operations, financial performance, or customer experience
- Strong foundation in statistics including hypothesis testing, anomaly detection, and statistical inference, as applied in AI model validation
- Hands-on experience building and deploying AI models, including supervised, unsupervised, and deep learning methods
About the Senior Scientist, Data Science job
- Leverage Machine Learning, AI, statistical and/or optimization methods to solve various problems in Pricing, Sales, and Finance in order to optimize revenue for the company
- Work with a team of data scientists and engineers to design, test and implement models into in-house software solutions
- You will be a thought leader for the practice of Data Science and Analytics across the organization
- Explore and research cutting-edge Artificial Intelligence techniques and statistical methods, to identify opportunities to drive process improvements through analytics and automation
- Conduct and present ad-hoc analyses to senior leaders within the business and technology organizations
- Communicate with technical and business-oriented audiences
- Serve as a subject matter expert in applying AI techniques to logistics and transportation challenges
- Leverage advanced data science methods, including machine learning, deep learning, and optimization, to enhance business performance
- Perform analytics ranging from predictive to prescriptive and cognitive, aligning with AI maturity levels based on project needs
- Combine technical skills in AI and data science with strong business acumen to deliver real-world impact at XPO
About XPO
XPO is a top ten global provider of transportation services, with a highly integrated network of people, technology and physical assets. At XPO, we look for employees who like a challenge and can communicate effectively in all situations. We want to leverage your skills and years of experience to drive positive results while ensuring a bright future for yourself and XPO. If you’re looking for a growth opportunity, join us at XPO.
We are proud to be an Equal Opportunity employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status.
All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test.
The above statements are not an exhaustive list of all required responsibilities, duties and skills for this job classification.
Review XPO's candidate privacy statement here.
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Who's Hiring



Top Industries Hiring
- Technology & Software
- Insurance
- Automotive
- Banking & Financial Services
- Investment & Asset Management
Data Scientist Jobs in Boston: Frequently Asked Questions
How do I get a data scientist job in Boston?
Focus your search on Boston's three densest hiring pockets: the Longwood Medical Area for life sciences and healthcare analytics, the Seaport for fintech and insurance, and Kendall Square for biotech and deep-tech startups. Employers here weight domain knowledge heavily, so pairing strong Python and machine learning skills with experience in clinical data, financial modeling, or genomics gives you a clear edge over generalist candidates.
Which companies hire data scientists in Boston?
Employers hiring data scientists in Boston right now include XPO, Zoox, and Tempus, based on current listings on Migrate Mate as of November 2026. Boston's hiring mix skews toward research-intensive organizations, including academic medical centers, biotech firms, asset managers, and enterprise software companies with large Boston engineering hubs.
Are there remote data scientist jobs in Boston?
Yes, though availability depends on the role. Analytical and modeling work is well suited to remote arrangements, while positions tied to clinical research systems or proprietary trading infrastructure often require on-site presence. About 85% of data scientist openings tied to Boston are remote or hybrid as of November 2026, with the highest remote share coming from enterprise software and insurance employers in the Seaport corridor.
How can I get a data scientist job in Boston with little or no experience?
The most realistic entry path in Boston is through a junior analyst or associate data scientist role at one of the city's many biotech or health-tech companies, which regularly hire candidates straight out of Boston-area graduate programs at MIT, Northeastern, and Boston University. Contract roles at financial services firms in the Seaport and research assistant positions at Longwood teaching hospitals also provide the domain exposure Boston employers expect before moving into full data scientist titles.
Which industries hire the most data scientists in Boston?
The sectors hiring the most data scientists in Boston are Technology & Software, Insurance, and Automotive, based on current listings on Migrate Mate as of November 2026. Boston's concentration of world-class academic medical centers, venture-backed biotech companies, and century-old financial institutions creates unusually deep and consistent demand for data scientists with domain-specific modeling experience.
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