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Data Science Machine Learning Jobs in Massachusetts

We are seeking an experienced Data Science leader to advance data-driven drug discovery and ... You will develop and apply hybrid approaches that combine machine learning with mechanistic ...

Research and identify new methods for machine learning and data analysis Requirements: * US CITIZENSHIP REQUIRED and the ability to obtain a U.S. Security Clearance * Masters or Ph.D in Data Science ...

Senior Data Scientist

Boston, MA · On-site

$144K - $181K/yr

Experience deploying and/or maintaining machine learning services in production * Proficiency in Python or similar languages widely used in the data science community * Proficiency in SQL * Ability ...

Master's degree or above in Computer Science, Machine Learning, Data Science, Statistics, Electrical Engineering, Biomedical Engineering, Biomechanics, or a related technical field. * 1-3+ years of ...

New

Data Scientist

Boston, MA

$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 ...

... data science, operations research, or data analysis with a focus on AI-driven analytics ... Familiarity with AI techniques and machine learning algorithms, including supervised and ...

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 ...

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 ...

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

Sitting within the broader Data Science organization, this team is responsible for modeling ... 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.
Sr. Software Engineer/Data Science - Boston, MA

Sr. Software Engineer/Data Science - Boston, MA

Two95 International Inc.

Boston, MA • On-site

$133K - $175K/yr

Full-time

Posted 10 days ago


Job description

Hi,
Title - Sr. Software Engineer - Data Science
Position - Fulltime
Location - Boston, MA
Salary - $Open (Best Possible)
Minimum Qualifications:
  • Bachelor's degree in Computer Science, Engineering, Math, or related technical/science field
  • 5+ years of software engineering experience
  • 2 years data science / machine learning experience

Requirements
Preferred Qualifications:
  • Significant experience with Python and Python data stack
  • Professional experience with the "PyData" stack - e.g. NumPy, pandas, matplotlib, Jupyter Notebook
  • Experience with Java and Apache Spark
  • Nice to have: experience in healthcare analytics; experience in Apache Spark

Note: If interested please send your updated resume and include your rate requirement along with your contact details with a suitable time when we can reach you. If you know of anyone in your sphere of contacts, who would be a perfect match for this job then, we would appreciate if you can forward this posting to them with a copy to us.
We look forward to hearing from you at the earliest!.

TWO95 International logo

About TWO95 International

Sourced by ZipRecruiter

At TWO95 International, we believe it is imperative that a hiring company is assured of procuring the right candidate to fill a job requirement. We have an extensive local and International network, and a fully digitalized sourcing approach that allows us to find a candidate best suited for the job. Furthermore, we strive to secure well matched opportunities that align with the personal and career aspirations of our candidates.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Cherry Hill, NJ, US

Year founded

2009

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