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Data Science Machine Learning Jobs in Massachusetts

Bose Corporation

Sr. Data Scientist

Framingham, MA · On-site

Required : • MS or PhD in Data Science, Machine Learning, Applied Mathematics/Statistics, or a related field • Completed coursework related to Statistics, Computer Science, Machine Learning, and ...

Boseallaboutme

Sr. Data Scientist

Framingham, MA

$120K - $165K/yr

Data science, machine learning, and analytics are a crucial part of this mission. These capabilities fuel the creation of new and innovative products, helping us to bring the right products to the ...

Bose Corporation

Sr. Data Scientist

Framingham, MA · On-site

$120K - $165K/yr

Data science, machine learning, and analytics are a crucial part of this mission. These capabilities fuel the creation of new and innovative products, helping us to bring the right products to the ...

State Street

Data Scientist, Vice President

Boston, MA · On-site

$120K - $202K/yr

... data science, machine learning, generative AI, agentic AI applications, advanced analytics, and model lifecycle management. The ideal candidate will bring 10+ years of experience designing ...

Conga

Staff Data Scientist (AI/ML)

Boston, MA · On-site

Experience. 10+ years of professional experience in data science, machine learning, or AI, including 5+ years working on AI/ML or GenAI solutions. Proven track record of developing, deploying, and ...

CarGurus

Senior Data Scientist

Boston, MA · On-site

... Data Science team with a focus on CarGurus's international products, the Senior Data Scientist, International will be responsible for implementing, training and testing machine learning models in ...

Roberts Recruiting

Senior Data Scientist

Boston, MA

The Data Scientist will analyze and model expected crop yield under various scenarios. Using large ... applied computer science, machine learning, mathematics, statistics, quantitative agronomy ...

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All JobsData Science Machine Learning JobsData Science Machine Learning Jobs in Massachusetts

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:
Data Science Machine Learning jobs near you
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. Data Scientist

Sr. Data Scientist

Bose Corporation

Framingham, MA • On-site

Full-time

Posted 5 days ago

Key responsibilities

  • Engage with business partners and stakeholders to understand business problems and translate them into data science solutions.

  • Lead and contribute to the end-to-end development and deployment of predictive and prescriptive models, with a focus on supply chain and causal modeling.

  • Explore large datasets using modeling, analysis, and visualization techniques.

Job description

Job Summary:
Bose Corporation is dedicated to improving sound for over 60 years, focusing on innovation and customer experience. They are seeking a Senior Data Scientist to develop AI and machine learning solutions that will enhance product offerings and optimize business strategies.
Responsibilities:
• Engage with business partners and stakeholders to understand business problems and translate them into data science solutions.
• Coordinate and collaborate with data science, data engineering, analytic engineering, and other resources to achieve business goals.
• Work cross-functionally with sales, product, marketing, and engineering on optimization opportunities and insights.
• Lead and contribute to the end-to-end development and deployment of predictive and prescriptive models, with a focus on supply chain and causal modeling.
• Explore large datasets using modeling, analysis, and visualization techniques.
• Communicate results, analyses, and methodologies to technical and non-technical senior level stakeholders.
• Ability to mentor, coach, and lead others.
• Contribute to and help build ML/AI vision to support business strategy.
Qualifications:
Required:
• MS or PhD in Data Science, Machine Learning, Applied Mathematics/Statistics, or a related field
• Completed coursework related to Statistics, Computer Science, Machine Learning, and Data Science
• Completed coursework related to Business/Management or Business/Customer Analytics
• 7+ years of experience applying data science, AI/machine learning, and analytics techniques to business problems
• 2+ years of experience leading data science projects
• Experience with machine learning, probabilistic forecasting, optimization and causal modeling techniques, with a focus in supply chain modeling.
• Experience with experimental research methods (DOE, RCT, Quasi-experimental design)
• Experience solving real-world problems using programming languages such as SQL, Spark, and Python, and deploying solutions to enterprise systems
• Excellent strategic thinking, communication, collaboration, and problem-solving skills, including working with and articulating results to senior business stakeholders.
• Experience with and understanding of project management tools and principles
Preferred:
• Ideal candidates will have experience with MMM as well.
Company:
Bose Corporation is a privately held company that designs and manufactures audio equipment. Founded in 1964, the company is headquartered in Framingham, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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