Data Scientist Jobs in Massachusetts
Data Scientist jobs in Massachusetts are among the most active in the country, with strong demand from entry-level analysts through principal and staff-level scientists in life sciences and biopharma, financial services, and technology. Boston, Cambridge, and Waltham account for the largest share of openings, anchored by employers like Biogen, Liberty Mutual, and MathWorks, which maintain deep, ongoing data science teams across research, risk modeling, and product analytics. The most sought-after specialties in Massachusetts are machine learning engineering, clinical and real-world data science, and NLP applied to healthcare or insurance. Find a role that fits below and apply directly.
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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.
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.
See All 72 Data Scientist Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
Find Data Scientist JobsData Scientist Jobs by City in Massachusetts
Where Massachusetts roles are concentrated, by current openings.
Data Scientist Job Market in Massachusetts
A snapshot from current Massachusetts openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Insurance
- Education
- Automotive
- Transportation & Logistics
What Massachusetts Employers Look For
The qualifications that appear most often in data scientist jobs across Massachusetts.
- Bachelor's or master's degree in statistics, computer science, mathematics, or a related quantitative field
- Proficiency in Python or R for data analysis, modeling, and automation workflows
- Experience building and deploying machine learning or statistical models in production environments
- Ability to query and manipulate large datasets using SQL or distributed computing tools such as Spark
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for data pipeline and model deployment work
- Strong communication skills for presenting analytical findings to non-technical stakeholders and cross-functional teams
Data Scientist Jobs in Massachusetts: Frequently Asked Questions
How do you become a data scientist in Massachusetts?
Massachusetts does not require a state-issued license to work as a data scientist. The typical path is a bachelor's degree in a quantitative field followed by a master's in data science, applied mathematics, or statistics, programs offered at institutions such as MIT, Harvard, Boston University, and Northeastern. Employers in Massachusetts place heavy weight on demonstrable project work, GitHub portfolios, and Kaggle competition history alongside formal credentials.
How much do data scientists make in Massachusetts?
Data scientists in Massachusetts earn a median of about $131,750 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $81,030 for the lowest 10% to over $206,220 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data scientists in Massachusetts?
Employers hiring data scientists in Massachusetts right now include XPO, CVS Health, and Xometry, based on current listings on Migrate Mate as of November 2026. Massachusetts's dense concentration of biopharma headquarters, insurance carriers, and asset management firms means many of the most consistent openings sit outside the familiar tech-startup category.
Which Massachusetts cities have the most data scientist jobs?
Boston, Cambridge, and Waltham have the highest concentration of data scientist openings in Massachusetts. Boston and Cambridge dominate because of the combined pull of teaching hospitals, biopharma campuses, and financial services headquarters, while Waltham and Burlington attract openings from the Route 128 technology corridor where companies such as MathWorks and Raytheon maintain large analytics teams.
Are there remote data scientist jobs in Massachusetts?
Yes, and more than most fields. About 76% of data scientist openings tied to Massachusetts are remote or hybrid as of November 2026, reflecting how naturally desk-based and tool-driven the work is. Roles focused on modeling, research, and reporting tend to be the most remote-friendly, while positions embedded in clinical trials or real-time trading operations typically require regular on-site presence.
How can I get hired as a data scientist in Massachusetts with little or no experience?
The most realistic entry path is a data analyst or research associate role, which large Massachusetts employers in biopharma and insurance use as a feeder pipeline into data science teams. Organizations like Mass General Brigham and Fidelity Investments run structured new-graduate and rotational programs that place candidates with quantitative degrees into analytical roles before a formal data scientist title. A completed capstone project using publicly available health or financial data, combined with a master's degree from a Boston-area university, measurably improves competitiveness.
Where can I find and apply to data scientist jobs in Massachusetts?
You can find and apply to data scientist jobs in Massachusetts on Migrate Mate, which lists current openings from employers actively hiring in the state. Find the roles that match your background and apply directly through each listing.
See All 72 Data Scientist Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
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