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Data Science Machine Learning Jobs in Boston, MA

Nanite Inc.

Machine Learning Engineer

Boston, MA

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Design and implement complex data engineering processes to support innovative data science modeling

Motional

Machine Learning Engineer, Data Mining

Boston, MA · On-site +1

$124K - $149K/yr

Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery ... What We're Looking For (Must-Haves): * BS or MS in Computer Science, Machine Learning, or a related ...

Motional

Machine Learning Engineer, Data Mining

Boston, MA · On-site +1

$144K - $192K/yr

MS/PhD in Computer Science, Machine Learning, or related field. * Experience with agentic systems ... Experience with ML-based data mining, active learning, or contrastive learning. * Knowledge of ...

Motional

Machine Learning Engineer, Data Mining

Boston, MA · On-site +1

$144K - $192K/yr

MS/PhD in Computer Science, Machine Learning, or related field. * Experience with agentic systems ... Experience with ML-based data mining, active learning, or contrastive learning. * Knowledge of ...

Lutron Electronics

Data Scientist

Boston, MA · On-site

... science, analytics, machine learning, and AI to improve customer experiences, products, and business operations, collaborating with various teams to turn data into actionable insights.

CarGurus

Manager, Data Science

Boston, MA

Role overview The Manager, Data Science will lead an Inventory & Dealer Data Science team focused ... The team owns Machine Learning solutions end-to-end across the ML lifecycle, from R&D to production.

Novartis

Associate Director, Data Science

Cambridge, MA · Hybrid

$160K - $297K/yr

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 ...

CarGurus

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 ...

TechYantram Solutions

Data Scientist

Boston, MA · On-site

Utilize advanced statistical and machine learning techniques to analyze and interpret data ... Stay current on industry trends and best practices in data science. Requirements: Required Skills:

Lutron Electronics Co., Inc

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 ...

Lutron Electronics Co., Inc

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 ...

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All JobsData Science Machine Learning JobsData Science Machine Learning Jobs in Boston, MA

Data Science Machine Learning information

See Boston, MA salary details

$40.7K

$133.3K

$213.5K

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

As of Jul 22, 2026, the average yearly pay for data science 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 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 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.

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.
Data Science Machine Learning jobs near you
Infographic showing various Data Science Machine Learning job openings in Boston, MA as of July 2026, with employment types broken down into 82% Full Time, 7% Part Time, and 11% Contract. Highlights an 80% In-person, 2% Hybrid, and 18% Remote job distribution, with an average salary of $133,343 per year, or $64.1 per hour.
Machine Learning Engineer

Machine Learning Engineer

Nanite Inc.

Boston, MA

Full-time

Posted 14 days ago

Job description

Our mission is to deliver the undeliverable.

 

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug delivery. The research intern will be in a fast-paced start-up environment playing a crucial technical role in generating cell culture and transfection data. The candidate will work with senior leadership and partner projects gaining broad internal and external exposure.

Essential Functions and Duties

  • Design and implement complex data engineering processes to support innovative data science modeling
  • Collaborate with chemistry and biology research teams to design data pipelines, analyze experimental data and implement experimentally actionable feed-back loops
  • Apply and deploy established and novel statistical and machine learning algorithms to explore, understand and optimize properties of the vast delivery vehicle space, both in silico and experimentally
  • Develop robust, scalable workflows and maintain security controls to protect sensitive data across cloud and on-premise environments
  • Coordinate with cross-functional teams to deploy models and communicate results and with a focus on computational efficiency, performance, and usability
  • Design of repositories, CI/CD pipelines and integration tests for ML workflows

Qualifications

MS in Computer Science, Data Science, Statistics, Computational Biology, Computational Chemistry, or a related discipline with 2 years hands-on machine learning experience. 

Knowledge, Skills, and Abilities

  • Track record developing statistical and machine learning models for complex and unconventional real-life problems
  • Strong mathematical and coding skills
  • Proficiency in Python,  MLOps (W&B, MLFlow) and ML packages (scikit-learn, PyTorch, JAX), along with SQL and AWS.
  • Familiarity with ML workflow best practices.
  • Interest in applications of machine learning in biotechnology
  • Strong communication skills, both written and verbal
  • Experience doing research and working with interdisciplinary teams

Additional Preferred Experience (desired, but not essential):

  • Experience in an industry setting related to biotechnology, chemicals, or materials manufacturing
  • Experience with cheminformatics, computational chemistry, computational biology databases, data structures, material science and modelling package

Computer and modeling work required, this is an on-site position based in the Seaport of Boston, MA.

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