Data Science Analyst Jobs in Boston, MA
Data Science Analyst jobs in Boston are concentrated in the Longwood Medical Area, the Seaport District, and Kendall Square adjacent Cambridge, with strong demand across biotech, financial services, and tech. Employers actively hiring include XPO, Collegium Pharmaceutical, and BNY. Find a role that fits below and apply directly.
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Showing 5 of 27+ Data Science Analyst jobs
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 Analyst Jobs in Boston
Find roles in Boston that match your experience and apply in just a few clicks.
Find Data Science Analyst JobsData Science Analyst Job Market in Boston
Who's Hiring
Top Industries Hiring
- Medical Devices
- Technology & Software
Data Science Analyst Jobs in Boston: Frequently Asked Questions
How do I get a data science analyst job in Boston?
Focus your search on Boston's three strongest hiring clusters: life sciences and biotech firms concentrated in the Longwood Medical Area, financial services companies headquartered downtown, and tech firms in the Seaport and adjacent Kendall Square. Candidates who can show experience with Python, SQL, or R alongside domain knowledge in one of those sectors move faster through local hiring pipelines. Applying directly through company career pages and targeting mid-size biotech and fintech firms often yields quicker results than chasing large enterprise roles.
Which companies hire data science analysts in Boston?
Companies currently hiring data science analysts in Boston include XPO, Collegium Pharmaceutical, and BNY, per current listings on Migrate Mate as of September 2026. Boston's employer mix is unusually strong in healthcare analytics and life sciences, alongside a dense cluster of asset managers and fintech startups that compete for the same analytical talent.
Are there remote data science analyst jobs in Boston?
Yes, data science analyst work is well-suited to remote and hybrid arrangements because the role centers on modeling, analysis, and reporting rather than on-site operations. About 41% of data science analyst openings tied to Boston are remote or hybrid as of September 2026, reflecting broad adoption across the sector. Analytical and modeling tasks travel well remotely, while roles tied to embedded clinical or trading-floor teams in Boston tend to require more in-person presence.
How can I get a data science analyst job in Boston with little or no experience?
The most realistic entry path in Boston is targeting analyst associate or junior data analyst roles at the city's mid-size biotech and healthcare technology firms, which hire more entry-level candidates than large financial institutions do. Boston-area universities and teaching hospitals also hire research data coordinators and analytics associates that build directly transferable skills. A portfolio of projects using publicly available health or financial datasets, combined with familiarity with Python or R, gives Boston-area candidates a concrete edge over applicants with credentials alone.
Which industries hire the most data science analysts in Boston?
Most data science analyst openings in Boston sit in Medical Devices and Technology & Software, per current listings on Migrate Mate as of September 2026. Boston's concentration of world-class research hospitals, global asset managers, and venture-backed tech companies creates unusually deep and sustained demand for analytical talent across all three sectors.
Related Jobs in Massachusetts
See All 27 Data Science Analyst Jobs in Boston
Find roles in Boston that match your experience and apply in just a few clicks.
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