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Data Scientist Machine Learning Jobs in Massachusetts

Data Scientist

Boston, MA · On-site

$110 - $120/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

Data Scientist

Boston, MA · On-site

$120K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

As a Data Scientist, you will apply data science, analytics, machine learning, and AI to help improve customer experiences, products, and business operations. You will work closely with senior data ...

Senior Data Scientist

Boston, MA · On-site

$144K - $181K/yr

Implement, train, and evaluate machine learning models using Python and AWS SageMaker. * Develop ... Design A/B tests of the Data Science team's models and analyze their results * Communicate ...

Principal Data Scientist

Boston, MA

$175K - $190K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

As a Principal Data Scientist, you will deliver impact through data science, ML, and AI by working ... Architect and deploy scalable machine learning and AI systems that serve as foundational platforms ...

Senior Data Scientist

Boston, MA · On-site

$144K - $181K/yr

Implement, train, and evaluate machine learning models using Python and AWS SageMaker. * Develop ... Design A/B tests of the Data Science team's models and analyze their results * Communicate ...

Data Scientist

Boston, MA

$120K - $135K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

As a Data Scientist, you will apply data science, analytics, machine learning, and AI to help improve customer experiences, products, and business operations. You will work closely with senior data ...

Responsibilities : • Perform data analysis, test and evaluation of existing machine learning ... D in Data Science, Computer Science, Engineering, Applied Mathematics, Physics, Physical or ...

GCS, Data Scientist, AVP

Quincy, MA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role will apply statistical modeling, machine learning, graph analytics, NLP, and GenAI ... This Data Scientist role strengthens the organization's ability to transform cybersecurity ...

GCS, Data Scientist, AVP

Quincy, MA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role will apply statistical modeling, machine learning, graph analytics, NLP, and GenAI ... This Data Scientist role strengthens the organization's ability to transform cybersecurity ...

Showing results 41-60

Data Scientist Machine Learning information

See Massachusetts salary details

$41K

$134K

$214.6K

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

As of Aug 16, 2026, the average yearly pay for data scientist 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.

What is a data scientist machine learning?

A Data Scientist specializing in Machine Learning (ML) uses statistical methods, algorithms, and computational power to analyze data and create predictive models. They work with large datasets to identify patterns, train machine learning models, and improve decision-making processes. Responsibilities often include data cleaning, feature engineering, model selection, and performance evaluation. They may collaborate with engineers and business teams to deploy models in real-world applications. Strong skills in programming (Python, R), ML frameworks (TensorFlow, Scikit-learn), and data visualization are essential.

What are the key skills and qualifications needed to thrive in the data scientist machine learning position, and why are they important?

To excel as a Data Scientist Machine Learning, you need a strong proficiency in statistics, programming (typically Python or R), and a solid understanding of machine learning algorithms, usually backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications in data science or machine learning, is commonly expected. Analytical thinking, problem-solving skills, and effective communication are vital soft skills in this profession. These qualifications combine to drive impactful insights and enable the successful development and deployment of machine learning models in business environments.

What are the typical day-to-day responsibilities of a data scientist machine learning?

On a typical day, a Data Scientist specializing in Machine Learning might gather and preprocess data, design and implement machine learning models, and evaluate their performance to solve real-world problems. They often collaborate with data engineers, software developers, and business stakeholders to translate business objectives into technical solutions and integrate models into existing systems. Other responsibilities can include visualizing data insights, conducting experiments to tune algorithms, and staying current with new developments in the field. The work is highly collaborative and iterative, requiring clear communication with various teams to ensure project goals are met efficiently.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Massachusetts?

The most popular types of Data Scientist Machine Learning jobs in Massachusetts are:

What are popular job titles related to Data Scientist Machine Learning jobs in Massachusetts?

For Data Scientist Machine Learning jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Data Scientist Machine Learning jobs in Massachusetts look for?

The top searched job categories for Data Scientist Machine Learning jobs in Massachusetts are:

What cities in Massachusetts are hiring for Data Scientist Machine Learning jobs?

Cities in Massachusetts with the most Data Scientist Machine Learning job openings:

Infographic showing various Data Scientist Machine Learning job openings in Massachusetts as of August 2026, with employment types broken down into 81% Full Time, and 19% Contract. Highlights an 85% In-person, 10% Hybrid, and 5% Remote job distribution, with an average salary of $134,046 per year, or $64.4 per hour.

Data Scientist / Senior Data Scientist

Berkshire Hathaway Specialty Insurance

Boston, MA • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago


Job description

Who are we?
A strategic and trusted insurance partner, Berkshire Hathaway Specialty Insurance (BHSI), provides a broad range of commercial property, casualty and specialty insurance coverages and outstanding service to customers and brokers around the world. Part of Berkshire Hathaway's insurance operations, we bring our solutions to market with our stellar brand name, top-rated balance sheet, and the expertise of our global team of professionals, who exude excellent capabilities and strong character.
We are a values-based organization where respect, integrity, excellence, collaboration, and passion define who we are and how we do business. We value diversity of backgrounds, experience, and perspectives and strive to foster an inclusive environment that enables all our team members to bring their best selves to work. We are one team committed to building a culture where every teammate has the opportunity to contribute and be recognized. Want to be part of the team building the finest property, casualty and specialty lines insurance company in the world?
Learn more about our unique culture and history.
Job Opportunity:
Berkshire Hathaway Specialty Insurance (BHSI) has an exciting opportunity for Data Scientist / Senior Data Scientist to join the Catastrophe Engineering and Analytics (CAT E&A) team. CAT E&A is an innovative and versatile technical team conducting catastrophe risk research and development and providing complex quantitative metrics that inform underwriting decisions across multiple lines of business.
The successful candidate will be responsible for identifying and applying cutting-edge data science techniques to build a better view of the risk for multiple perils. You will work across functional areas and perils within the team, supporting the development of models for various natural catastrophes, natural hazards, building vulnerability, and man-made risks such as cyber, casualty, among others. In addition, you will conduct in-depth evaluation of vendor models, research and develop internal views of exposure and risks, consult on account-specific risk analyses, and develop internal tools to facilitate account underwriting decision-making and other related activities.
Duties & Responsibilities:
  • Evaluate and develop insights into large and diverse data sets from claims, hazard models, structural analysis, geospatial sources, and various other public/proprietary datasets.
  • Develop and maintain expertise in advanced data science, machine learning, and artificial intelligence techniques, and their application to understanding risk.
  • Work with domain experts across teams and perils to enhance our use of available data.
  • Propose and execute innovative solutions to insurance problems that directly impact BHSI underwriting decisions.

Qualifications, Skills and Experience:
  • Ph.D. or M.S. in data science, civil engineering, atmospheric science, actuarial science, computer science, mathematics, or a related field
  • 3-6 years of industry experience is preferred and required for the Senior Data Scientist level role
  • Advanced knowledge of probability theory, statistics, and machine learning methods is required
  • Practical experience in insurance, catastrophe model development, cyber and casualty risk modeling, and/or exposure data collection is preferred
  • Experience applying advanced statistical techniques and machine learning to large data sets, especially in areas of structural performance, natural catastrophe hazard, building exposure data, geospatial data, or insurance claims data
  • Familiarity with large language models (LLMs), retrieval-augmented generation (RAG), and their application in data-driven workflows is a plus
  • Strong written and verbal communication skills
  • Strong programming skills in Python (preferred), R, and SQL
  • Experience and understanding of relational and non-relational databases preferred
  • Comfort working within git-based version-control environments
  • Experience with Databricks or other cloud-based data and analytics platforms preferred
  • Highly motivated, detail oriented, and team player

BHSI Offers:
  • A competitive package and exciting growth opportunities for career-oriented teammates.
  • A dynamic, action oriented, and thoughtful environment centered on always doing the right thing for our customers, teammates, and our other stakeholders.
  • A purposely non-bureaucratic organization that embraces simplicity over complexity and emphasizes individual excellence in a team framework.
  • Benefits that support your life and well-being, which include:
    • Comprehensive Health, Dental and Vision benefits
    • Disability Insurance (both short-term and long-term)
    • Life Insurance (for you and your family)
    • Accidental Death & Dismemberment Insurance (for you and your family)
    • Flexible Spending Accounts
    • Health Reimbursement Account
    • Employee Assistance Program
    • Retirement Savings 401(k) Plan with Company Match
    • Generous holiday and Paid Time Off
    • Tuition Reimbursement
    • Paid Parental Leave

The base salary range for this position in Atlanta, GA, Boston, MA, or San Ramon, CA is $100,000 to $160,000, along with annual bonus eligibility. Total compensation for a candidate is determined by their relevant skills, location, and experience. We value our teammates - both their capabilities and character - as demonstrated by our amazing culture.
NOTE: Compensation will be commensurate with experience. This job description is not intended to be all-inclusive. Team Member may perform other related duties as negotiated to meet the ongoing needs of the organization.