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Data Scientist Machine Learning Jobs in Massachusetts

Motion Recruitment

Lead Data Scientist

Boston, MA · Remote

Master's degree preferred · 8+ years of experience in Data Science, Machine Learning, Applied AI, or related fields · Strong experience with Large Language Models (LLMs) and Generative AI ...

LEK

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 ...

Saviance

Data Scientist

Boston, MA · On-site

BigR.io is a technology consulting firm specializing in Big Data and Machine Learning solutions. They are seeking a passionate Data Scientist to work on advanced applications of Machine Learning ...

CarGurus

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 ...

CarGurus

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 ...

MORSE Corp

Data Scientist

Cambridge, MA · On-site

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

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Data Scientist Machine Learning information

See Massachusetts salary details

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$134K

$214.6K

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

As of Sep 6, 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 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 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 is the salary of data scientist in machine learning?

The salary of a data scientist specializing in machine learning typically ranges from $90,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with advanced skills in programming, statistical analysis, and tools like Python or TensorFlow may earn higher compensation.

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:

Data Scientist Machine Learning jobs near you
Infographic showing various Data Scientist Machine Learning job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $134,046 per year, or $64.4 per hour.

Lead Data Scientist

Motion Recruitment

Boston, MA • Remote

Contractor

Re-posted 22 days ago

Job description

Job Description

Join a cutting-edge AI Platform team as a Lead Data Scientist in a 6-month remote contract-to-hire opportunity. You'll provide technical leadership while driving the development of enterprise-scale AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, NLP, machine learning, and distributed AI architectures to support complex research, document intelligence, and workflow automation systems.

This is a highly visible opportunity for someone who wants to shape the future of enterprise AI. You'll help define AI strategy, lead the design of next-generation intelligent systems, and partner across engineering, product, and business teams to bring advanced AI capabilities into production.

Contract Duration: 6 Months (Contract-to-Hire)

Required Skills & Experience

· Bachelor's degree required; Master's degree preferred
· 8+ years of experience in Data Science, Machine Learning, Applied AI, or related fields
· Strong experience with Large Language Models (LLMs) and Generative AI applications
· Hands-on experience designing and deploying Retrieval-Augmented Generation (RAG) systems
· Expertise in machine learning, NLP, and information retrieval techniques
· Experience building and deploying production AI/ML systems at scale
· Strong Python programming skills
· Experience working with distributed systems and cloud-based AI environments
· Deep understanding of agentic AI architectures and autonomous workflows
· Proven ability to lead technical initiatives and influence AI strategy
· Excellent communication, stakeholder management, and problem-solving skills

Desired Skills & Experience

· Experience leading enterprise-scale AI platform initiatives
· Familiarity with vector databases and semantic search technologies
· Knowledge of legal, regulatory, or document-intensive data environments
· Experience with model evaluation, monitoring, governance, and optimization
· Exposure to workflow automation and intelligent agent frameworks
· Experience mentoring Data Scientists and Machine Learning Engineers
· Advanced degree in Data Science, Computer Science, Machine Learning, or a related field

What You Will Be Doing

Tech Breakdown
· 40% LLMs, RAG, and Generative AI
· 25% Machine Learning & NLP
· 20% Agentic AI & Intelligent Automation
· 15% Technical Leadership & AI Strategy

Daily Responsibilities
· 65% Hands On
· 15% Leadership & Mentorship
· 20% Team Collaboration

You'll lead the design and deployment of advanced AI systems, establish best practices for AI development, mentor team members, collaborate with leadership on AI strategy, and drive the adoption of LLMs, RAG, and agentic AI technologies across enterprise-scale platforms.

Apply