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Data Science Machine Learning Jobs in Massachusetts

The Director, Data (MarTech) is responsible for applying data exploration and visualization, machine learning and artificial intelligence, and other data science techniques to explore, create, and ...

... science, machine learning, and AI with sustained, enterprise-level impact • Proven leadership track record leading teams and projects, coordinating across functions, and driving execution from ...

Work with data scientists to understand their data needs and put together data pipelines to ingest ... Machine Learning Operations. Write high-quality code that has high test coverage. Participate in ...

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Design and implement complex data engineering processes to support innovative data science modeling

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Design and implement complex data engineering processes to support innovative data science modeling

Provide technical leadership across traditional data science, predictive modeling, machine learning, GenAI, LLMs, and production AI engineering. * Guide the team in building modular, scalable ...

Machine Learning Engineer, Data Mining

Boston, MA · On-site +1

$124K - $149K/yr

Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery ... What We're Looking For (Must-Haves): * BS or MS in Computer Science, Machine Learning, or a related ...

Stay abreast of advancements in data science, machine learning, and healthcare technologies; * Educate and raise awareness around Data Science and its potential in supporting Ipsen's internal teams ...

Machine Learning Engineer, Data Mining

Boston, MA · On-site +1

$144K - $192K/yr

MS/PhD in Computer Science, Machine Learning, or related field. * Experience with agentic systems ... Experience with ML-based data mining, active learning, or contrastive learning. * Knowledge of ...

... science, analytics, machine learning, and AI to improve customer experiences, products, and business operations, collaborating with various teams to turn data into actionable insights.

Machine Learning Engineer, Data Mining

Boston, MA · On-site +1

$144K - $192K/yr

MS/PhD in Computer Science, Machine Learning, or related field. * Experience with agentic systems ... Experience with ML-based data mining, active learning, or contrastive learning. * Knowledge of ...

Role overview The Manager, Data Science will lead an Inventory & Dealer Data Science team focused ... The team owns Machine Learning solutions end-to-end across the ML lifecycle, from R&D to production.

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Showing results 1-20

Data Science Machine Learning information

See Massachusetts salary details

$41K

$134K

$214.6K

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

As of Jun 29, 2026, the average yearly pay for data science machine learning in Massachusetts is $134,046.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,600.00 and $148,500.00 per year, depending on experience, location, and employer.

Which has more salary, CS or AI?

Data Science and Machine Learning roles in AI generally have higher salaries than traditional computer science positions due to specialized skills in deep learning, neural networks, and advanced algorithms. AI roles often require expertise in programming languages like Python and frameworks such as TensorFlow, which are highly valued in the job market. Salaries vary by experience, location, and industry, but AI-focused positions tend to offer higher compensation on average.

What are the key skills and qualifications needed to thrive as a Data Science Machine Learning professional, and why are they important?

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 engineers make $500,000?

Senior data science and machine learning engineers with extensive experience, advanced skills in programming, statistical analysis, and deep learning, and often working in high-demand industries or at large tech companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at executive or specialized levels.

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.

Do data scientists work with machine learning?

Data scientists often work with machine learning as a core part of their role, developing models to analyze data and make predictions. They use tools like Python, R, and libraries such as scikit-learn or TensorFlow to build and deploy machine learning algorithms. Knowledge of statistics, programming, and data manipulation is essential for this work.

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.

Which 3 jobs will survive AI?

Data science and machine learning roles are expected to persist as they require complex problem-solving, domain expertise, and creativity that AI tools currently cannot fully replicate. Jobs involving strategic decision-making, ethical considerations, and interpersonal skills, such as data analysts, AI ethics specialists, and AI system trainers, are also likely to remain in demand. Continuous learning and proficiency with AI tools will be essential for these roles to adapt and thrive.
What cities in Massachusetts are hiring for Data Science Machine Learning jobs? Cities in Massachusetts with the most Data Science Machine Learning job openings:
Infographic showing various Data Science Machine Learning job openings in Massachusetts as of June 2026, with employment types broken down into 51% Full Time, 45% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $134,046 per year, or $64.4 per hour.
Director, Data Science (MarTech)

Director, Data Science (MarTech)

Inmar

Boston, MA

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 25 days ago


Job description

The Director, Data (MarTech) is responsible for applying data exploration and visualization, machine learning and artificial intelligence, and other data science techniques to explore, create, and maintain advanced data-driven solutions for the problems and opportunities at Inmar Intelligence, working closely with business units, product development, and application engineering.
This role provides thought leadership on Inmar strategic plans for new products and solutions, and manages the Data Science team, both from personnel and technical perspectives.

Primary Accountabilities: (Technical)

  • Demonstrate excellent understanding and competence in the tools, techniques, and technologies used by the team: data science, machine learning, artificial intelligence, software engineering, statistical analysis, scientific method, etc.
  • Demonstrate superior collaboration with senior leadership in identifying prospective data science solutions that align with Inmar goals, as well as working with business units and product development teams in creating those solutions
  • Demonstrate superior collaboration with application engineering to build robust and secure solutions that integrate with production products
  • Demonstrate superior communication skills, especially with internal technical and non-technical stakeholders and team members, but also as an effective technical spokesperson with customers and other external stakeholders
  • Demonstrate a drive to keep skills and knowledge up to date
  • Demonstrate innovation and continuous improvement
  • Demonstrate professionalism with focus on customer satisfaction and product quality

Leadership:

  • Expand awareness and understanding of Data Science to peers and senior leadership
  • Demonstrate superior competence in managing team dynamics and organizational culture, with the objective of ensuring team effectiveness
  • Provide coaching and mentoring to team members in their professional and technical development
  • Work with minimal supervision and assumes leadership responsibilities on multiple, concurrent projects

Additional Responsibilities:

  • Performs other duties as assigned

  • Complies with all policies and standards

Required Qualifications:

  • Bachelors in Computer Science, Statistics or any related field with an applied quantitative and experimentation focus required

  • Masters in quantitative and experimentation focused field preferred

  • Doctorate in quantitative and experimentation focused field preferred

  • 10+ years related work experience in machine learning, data visualization, and other data science techniques, including at least 4 years managing others; or any equivalent combination of experience and training that provides the required knowledge, skills, and abilities needed to complete the job responsibilities required

  • Strong experience in software development (scripting, programming, versioning, testing, deploying) on Linux and Microsoft Platforms

  • Strong experience in databases (data processing extraction, cleansing and transformation)

  • Highly proficient with presentation software: Microsoft Office & Google Suites and giving presentations to technical and non-technical audiences

Physical Demands
The physical demands described here are representative of those that must be met by an associate to successfully perform the major job responsibilities (essential functions) of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the major job responsibilities. This job description is not intended to be an exhaustive list of all duties, responsibilities, or qualifications associated with the job.

  • Use Hands to Handle Objects - Regularly

  • Reach with Hands or Arms - Regularly

  • Talk or Hear and Read Instructions - Regularly

  • Stand, Kneel, or Stoop and Lift 20 Pounds - Occasionally

  • View Items at a Close Range - Regularly

Rarely: Job requires this activity up to 25% of the time
Occasionally: Job requires this activity between 25% - 50% of the time
Frequently: Job requires this activity between 50% - 75% of the time
Constantly: Job requires this activity more than 75% of the time
Individual Competencies

  • Teamwork: Advanced communication skills used to lead a team.

  • Adaptable: Arrives at a conclusion based on previous experiences and good judgment.

  • Innovative: Arrives at decision using analytical thought.

  • Curious: Asseses circumstances using experience and a variety of information gathered.

  • Problem Solving: Completes routine and repetitive tasks where tasks are straightforward.

  • Communication: Contributes to strategy for their team.

  • Collaboration: Creates internal alliances outside the immediate team or department.

  • Effective Execution: Demonstrates support for innovation and organizational changes needed to improve effectiveness and efficiency.

As an Inmar Associate, you:

  • Put clients first and consistently display a positive attitude and behaviors that demonstrate an awareness and willingness to listen and respond to clients in order to meet their short-term and long-term needs, requirements and exceed their expectations.

  • Treat clients and teammates with courtesy, consideration and tact; you also have the ability to perceive the needs of internal and external clients and communicate effectively with the objective of delighting and retaining the client.

  • Build collaborative relationships and work cooperatively with others, inside and outside the organization, to accomplish objectives, develop and maintain mutually beneficial partnerships, leverage information and achieve results.

  • Set and attain achievable, yet aggressive, goals with a sense of urgency and accountability.

  • Understand that results are important and focus on turning mission into action to achieve results following the principles of Flawless Execution while consistently complying with quality, service and productivity standards to meet deadlines and exceed expectations by giving our clients the best possible outcome.

  • Support a safe work environment by following safety rules and regulations and reporting all safety hazards.

At Inmar, we put people first and that means empowering our associates to thrive at every stage of life and career. Our comprehensive and competitive benefits package is thoughtfully designed to support a wide range of lifestyles and life stages.

Eligible associates have access to:

  • Medical, Dental, and Vision insurance

  • Basic and Supplemental Life Insurance options

  • 401(k) retirement plans with company match

  • Health Spending Accounts (HSA/FSA)

We also offer:

  • Flexible time off and 11 paid holidays

  • Family-building benefits, including Maternity, Adoption, and Parental Leave

  • Tuition Reimbursement and certification support, reflecting our commitment to lifelong learning

  • Wellness and Mental Health counseling services

  • Concierge and work/life support resources

  • Adoption Assistance Reimbursement

  • Perks and discount programs

Please note that eligibility for some benefits may depend on your job classification and length of employment. Benefits are subject to change and may be governed by specific plan or program terms.

At Inmar, compensation reflects our belief in integrity, transparency, and the value of individual contributions. The hiring range for this position is:

162,081.00 - 270,135.00 USD Annual

The final offer may vary based on factors such as geographic location, job-related skills, education, certifications, work experience, and other relevant considerations.

Depending on the job level and role, it may include:

  • Annual discretionary bonuses through our Core Company Performance Bonus Plan

  • Equity grants, sign-on bonuses, and other tailored incentive opportunities

  • Additional discretionary compensation, such as:

    • Growing Revenue Incentives

    • Corporate or VIP Bonuses

    • Deferred compensation opportunities

The actual annualized salary offered at the time of hire will be communicated in the candidate's offer letter. We remain committed to fairness and transparency across all locations. Where required, including for remote-eligible roles, local pay ranges are disclosed in accordance with applicable laws and regulations.

We are an Equal Opportunity Employer, including disability/vets.

Recruitment Fraud Notice:Recruitment fraud is an increasingly common scam where individuals pose as employers to offer fictitious job opportunities. Scammers sometimes impersonate Inmar recruiters on LinkedIn and other channels. We will never ask for payment or sensitive personal information during the hiring process. Verify any role on our official Workday Careers site and learn how to spot scams in ourfull notice.

This position is not eligible for student visa sponsorship, including F-1 OPT or CPT. Candidates must have authorization to work in the U.S. without the need for employer sponsorship now or in the future.