Data Science Director Jobs in Boston, MA
Data Science Director jobs in Boston are in strong demand, concentrated in the Seaport, Kendall Square, and Back Bay across life sciences, financial services, and enterprise technology. Employers actively posting roles include XPO, Collegium Pharmaceutical, and BNY. Find a role that fits below and apply directly.
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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 28 Data Science Director Jobs in Boston
Find roles in Boston that match your experience and apply in just a few clicks.
Find Data Science Director JobsData Science Director Job Market in Boston
Who's Hiring
Top Industries Hiring
- Medical Devices
- Technology & Software
Data Science Director Jobs in Boston: Frequently Asked Questions
How do I get a data science director job in Boston?
The strongest path into a data science director role in Boston runs through the city's life sciences, biotech, and financial services sectors, which consistently drive the most senior data leadership hiring. Candidates who can demonstrate experience building and managing data science teams, translating analytical output into business decisions, and working across cross-functional stakeholders stand out. Concentrating your search in the Seaport, Kendall Square, and the financial district gives you the densest cluster of openings.
Which companies hire data science directors in Boston?
Boston data science director roles are posted by XPO, Collegium Pharmaceutical, and BNY and others right now, based on current listings on Migrate Mate as of September 2026. Boston's hiring mix skews heavily toward biotech and pharmaceutical companies, regional and national financial institutions, and fast-growing health technology firms, many of which maintain significant data science leadership teams in the city.
Are there remote data science director jobs in Boston?
Yes, though availability depends on the employer: director-level data science roles that are primarily analytical and strategic tend to offer more flexibility than those requiring hands-on management of on-site teams or collaboration with lab-based researchers. About 44% of data science director openings tied to Boston are remote or hybrid as of September 2026, with hybrid arrangements most common among financial services and enterprise technology firms in the Seaport and Back Bay.
How can I get a data science director job in Boston with little or no experience?
The most realistic path for candidates with limited director-level experience is moving into a senior data scientist or principal data scientist role at one of Boston's many mid-size biotech or fintech companies, where promotion to director happens faster than at large institutions. Boston's dense startup ecosystem in Kendall Square and the Seaport also creates opportunities to step into early leadership roles with smaller teams. Building a portfolio that shows you've led projects end-to-end, not just contributed to them, is the sharpest differentiator in this market.
Which industries hire the most data science directors in Boston?
Most data science director 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, pharmaceutical headquarters, and financial services firms creates sustained demand for senior data leadership that goes beyond what most comparable cities sustain.
Related Jobs in Massachusetts
See All 28 Data Science Director Jobs in Boston
Find roles in Boston that match your experience and apply in just a few clicks.
Find Data Science Director Jobs