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Data Scientist Machine Learning Jobs in Boston, MA

As a Staff Data Scientist, you will be a key technical leader responsible for shaping the strategy ... Advanced knowledge of machine learning algorithms, statistical modeling, experimentation ...

The role involves conducting analyses to provide actionable business insights and informing statistical or machine learning approaches. Responsibilities : • build scalable, re-usable data science ...

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Data Scientist Machine Learning information

See Boston, MA salary details

$40.7K

$133.3K

$213.5K

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 Boston, MA is $133,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $147,800.00 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 Boston, MA?

The most popular types of Data Scientist Machine Learning jobs in Boston, MA are:

What are popular job titles related to Data Scientist Machine Learning jobs in Boston, MA?

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

What job categories do people searching Data Scientist Machine Learning jobs in Boston, MA look for?

The top searched job categories for Data Scientist Machine Learning jobs in Boston, MA are:

What cities near Boston, MA are hiring for Data Scientist Machine Learning jobs?

Cities near Boston, MA with the most Data Scientist Machine Learning job openings:

Infographic showing various Data Scientist Machine Learning job openings in Boston, MA as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 81% In-person, 12% Hybrid, and 7% Remote job distribution, with an average salary of $133,343 per year, or $64.1 per hour.

Lead Research Scientist - Machine Learning

STR

Woburn, MA • On-site

Full-time

Re-posted 11 days ago


Job description

Job Summary:
STR is a technology company specializing in advanced research and development for defense, intelligence, and national security. The Lead Research Scientist will develop cutting-edge AI/ML algorithms for signals exploitation and system resource management, leading project teams and solving high-impact problems for customers.
Responsibilities:
• Help develop disruptive technologies focused on signals exploitation, estimation theory, system resource management, and systems analysis.
• Lead the development of cutting-edge AI/ML algorithms for novel application domains and modalities.
• Participate on and lead project teams, and interact with customers.
• Explore fascinating datasets, develop cutting-edge algorithmic techniques, and solve high-impact, unique problems for our customers.
Qualifications:
Required:
• MS with at least 8 years of experience, and/or PhD with at least 5 years of experience (or equivalent experience) in a scientific field such as applied math, physics, electrical engineering, computer science, or data science
• Experience building neural networks using standard deep learning tools (e.g., PyTorch, JAX, TensorFlow), including implementing new layers/network architectures, model training, hyperparameter tuning, and ablation studies
• Experience adapting novel machine learning approaches (e.g., from academic literature) to new data sets and problems
• Experience with standard data science tools such as scikit-learn, Pandas, and Matplotlib
• Proficiency in one or more programming languages: Python, C/C++
• Able to work, collaborate on, and lead multi-disciplinary teams
• Able to communicate technical foundations of models and algorithms to technical and non-technical audiences
• Ability to obtain and maintain a security clearance, for which U.S citizenship is needed by the U.S government
Preferred:
• Active US government security clearance
• Experience applying deep learning to domains other than images/text, such as time series, discrete event sequence, or geospatial
• Experience with self-supervised machine learning
• Expertise working with time series, geospatial, and/or spatio-temporal data
• Experience in intelligence or military-related mission areas
Company:
STR is built on people & technology platforms tackling tough problems in cybersecurity, distributed sensing & artificial. Founded in 2010, the company is headquartered in Woburn, USA, with a team of 501-1000 employees. The company is currently Late Stage.