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Data Science Machine Learning Jobs in Boston, MA

Data Scientist

Boston, MA · On-site

$120K - $135K/yr

Continuously learn and apply new data science and machine learning techniques relevant to Lutron's products and business Qualifications * Graduate degree in Data Science, Computer Science, Statistics ...

Data Scientist

Boston, MA · On-site

$120K/yr

Continuously learn and apply new data science and machine learning techniques relevant to Lutron's products and business Qualifications * Graduate degree in Data Science, Computer Science, Statistics ...

D. or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Artificial Intelligence, or a related quantitative field. * 7+ years of experience in data science, machine learning ...

Senior Machine Learning Engineer

Boston, MA · On-site

$133K - $175K/yr

The Crown Is Yours As a Senior Machine Learning Engineer, you'll design, implement, and scale ... The Fintech Data Science team builds and maintains systems that protect DraftKings and its ...

... science/machine learning What Sets You Apart - Interest in financial crime, AML, and fraud analytics - Skilled in SQL for complex data queries - Advanced Python skills for data manipulation ...

New

The role involves conducting analyses to provide actionable business insights and informing statistical or machine learning approaches. Responsibilities : • build scalable, re-usable data science ...

Data Scientist

Boston, MA · On-site

$110 - $120/hr

Supportend-to-end data science projectsfrom conceptualization through to deployment,and deploy advanced machine learning models in clients' cloud environments,optimizingfor scalability, performance ...

New

Showing results 41-60

Data Science Machine Learning information

See Boston, MA salary details

$40.7K

$133.3K

$213.5K

How much do data science machine learning jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data science machine learning in Boston, MA is $133,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $147,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data science machine learning professional?

To thrive as a Data Science Machine Learning professional, you need a strong background in statistics, programming (usually Python or R), and a solid understanding of machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools like TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications such as AWS Certified Machine Learning, are typically valuable. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These skills enable professionals to develop robust models, extract actionable insights, and drive data-driven decision-making in organizations.

What are some common challenges faced when deploying machine learning models as a data science machine learning professional?

A frequent challenge in this role is bridging the gap between building accurate models in a controlled environment and deploying them effectively in production systems. Issues such as data drift, model performance degradation, and integration with existing IT infrastructure often arise. Collaboration with engineering and IT teams is crucial to ensure models are scalable, maintainable, and secure. Regular monitoring and updating of deployed models are also essential responsibilities to sustain their value to the business.

What is the difference between Data Science Machine Learning vs Data Analyst?

AspectData Science Machine LearningData Analyst
Required SkillsProgramming (Python, R), statistics, machine learning algorithmsData visualization, SQL, basic statistics
Work EnvironmentDeveloping models, coding, experimenting with algorithmsData reporting, dashboard creation, data cleaning
Industry UsageTech, finance, healthcare, where predictive models are neededBusiness intelligence, marketing, operations

Data Science Machine Learning professionals focus on building predictive models and algorithms using programming and advanced statistics, often working on complex projects. Data Analysts primarily interpret data through visualization and reporting to support business decisions. While both roles require data skills, Data Science Machine Learning involves more technical programming and modeling, whereas Data Analysts focus on data interpretation and presentation.

What is data science machine learning?

Data science machine learning refers to the use of algorithms and statistical models to analyze and draw insights from complex data sets. In this field, professionals use machine learning techniques to build predictive models, automate decision-making processes, and uncover patterns in data. Machine learning is a core component of data science, enabling systems to improve their performance over time without being explicitly programmed. Data scientists with machine learning expertise are in high demand across industries like healthcare, finance, and technology.
Infographic showing various Data Science Machine Learning job openings in Boston, MA as of August 2026, with employment types broken down into 82% Full Time, 7% Part Time, and 11% Contract. Highlights an 81% In-person, 2% Hybrid, and 17% Remote job distribution, with an average salary of $133,343 per year, or $64.1 per hour.

Senior Scientist, Data Science - Hybrid

XPO Logistics

Boston, MA

$106K - $132K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 23 days ago


XPO rating

7.0

Company rating: 7.0 out of 10

Based on 223 frontline employees who took The Breakroom Quiz

213th of 361 rated logistics


Job description

Please note that the following enhanced screening and interview requirements apply to this role: Virtual backgrounds or headphones / earbuds are not permitted during web-based interviews. Additionally, a minimum of one onsite, in person interview will be required as part of the application process. By choosing to apply, you acknowledge and agree to these requirements.

What you'll need to succeed as a Senior Scientist, Data Science at XPO

Minimum qualifications:

  • 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

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 Senior Scientist, Data Science job

Pay, benefits and more:

  • Competitive compensation package
  • Full health insurance benefits are available on day one
  • Life and disability insurance
  • Earn up to 15 days of PTO over your first year
  • 9 paid company holidays
  • 401(k) option with company match
  • Education assistance
  • Opportunity to participate in a company incentive plan

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: $106,383 to $132,978 Actual compensation may vary due to factors such as experience and skill set. 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 XPO employees say

Pay

Benefits

Hours and flexibility

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About XPO

Sourced by ZipRecruiter

Founded in Greenwich, Connecticut, XPO Logistics, Inc., operating under the brand name XPO, is a one of the leading companies in the transportation and logistics sector. Operating its services in 30 countries, the company employs the use of ground-breaking technology in providing a broad suite of logistics services including supply chain management, freight brokerage, last mile logistics, and intermodal and drayage transportation. XPO's impressive history dates back to 2011 and within its relatively short existence, it has made a series of acquisitions to consolidate its top-notch range of services. Their mission is to provide outstanding results to customers by envisioning and implementing significant advancements in freight transportation and logistics.

Industry

Import-export

Company size

10,000+ Employees

Headquarters location

Greenwich, CT, US