Data Science Engineer Jobs in Boston, MA
Data Science Engineer jobs in Boston are concentrated in the Longwood Medical Area, Kendall Square, and the Seaport District, with strong demand across biotech, financial services, and enterprise technology. Employers actively hiring include XPO, Collegium Pharmaceutical, and BNY. See the openings below and apply to the ones that match your experience.
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What you’ll need to succeed as a Lead Scientist, Data Science at XPO
- Bachelor’s degree or equivalent related work or military experience
- 4 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
Preferred qualifications:
- 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 Lead Scientist, Data Science job
What you’ll do on a typical day:
- 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
Annual Salary Range: $129, 446 to $161,807. Actual compensation may vary due to factors such as experience and skill set.
In addition to base salary, employees may be eligible for a sign-on bonus, annual and long-term incentive awards, and an equity buyout award. This is an incentive-based position, which may include bonuses, incentive or commission plans.
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 Lead Scientist, Data Science at XPO
- Bachelor’s degree or equivalent related work or military experience
- 4 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
Preferred qualifications:
- 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 Lead Scientist, Data Science job
What you’ll do on a typical day:
- 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
Annual Salary Range: $129, 446 to $161,807. Actual compensation may vary due to factors such as experience and skill set.
In addition to base salary, employees may be eligible for a sign-on bonus, annual and long-term incentive awards, and an equity buyout award. This is an incentive-based position, which may include bonuses, incentive or commission plans.
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 27 Data Science Engineer Jobs in Boston
Find roles in Boston that match your experience and apply in just a few clicks.
Find Data Science Engineer JobsData Science Engineer Job Market in Boston
Who's Hiring
Top Industries Hiring
- Medical Devices
- Technology & Software
Data Science Engineer Jobs in Boston: Frequently Asked Questions
How do I get a data science engineer job in Boston?
Focus your search on Boston's three dominant hiring clusters: Longwood and the broader Fenway corridor for life sciences and biotech, Kendall Square and Cambridge for research-driven tech firms, and the Seaport for fintech and enterprise software. Candidates with experience in machine learning pipelines, cloud infrastructure (AWS or Azure), and Python stand out. Networking through local meetups tied to the Boston AI and data science community also gives applicants a measurable edge over remote applicants.
Which companies hire data science engineers in Boston?
Companies currently hiring data science engineers in Boston include XPO, Collegium Pharmaceutical, and BNY, per current listings on Migrate Mate as of September 2026. Boston's hiring base skews heavily toward biotech and pharmaceutical firms in the Longwood corridor, alongside financial services companies and early-to-mid-stage tech startups based in the Seaport and Cambridge.
Are there remote data science engineer jobs in Boston?
Yes, though availability varies by employer type since many Boston data science engineer roles involve close collaboration with research, product, or quant teams that prefer in-person or hybrid arrangements. About 41% of data science engineer openings tied to Boston are remote or hybrid as of September 2026, with fully remote positions most common at enterprise software and fintech companies rather than biotech or academic medical centers.
How can I get a data science engineer job in Boston with little or no experience?
The most realistic entry path in Boston is targeting associate data scientist or junior data engineer roles at mid-size biotech firms and financial technology companies, which tend to hire earlier-career candidates than large pharmaceutical employers. Boston-area companies partnered with MIT and Northeastern often recruit co-op and recent graduate talent. Building a portfolio demonstrating end-to-end ML pipeline work, even on public datasets, and contributing to open-source projects gives Boston hiring managers concrete evidence of hands-on capability.
Which industries hire the most data science engineers in Boston?
Boston data science engineer roles concentrate in Medical Devices and Technology & Software, based on current listings on Migrate Mate as of September 2026. Boston's density of world-class research hospitals, pharmaceutical companies, and quantitative finance firms creates sustained demand for engineers who can build and deploy models at the intersection of complex scientific or financial data.
Related Jobs in Massachusetts
See All 27 Data Science Engineer Jobs in Boston
Find roles in Boston that match your experience and apply in just a few clicks.
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