1

Data Science Physics Jobs in Massachusetts (NOW HIRING)

Senior Data Scientist

Woburn, MA · On-site

$140K - $190K/yr

MS degree with 3+ years of experience, and/or PhD in Statistics, Data Science, Applied Mathematics, Computer Science, Physics or other related discipline (or equivalent experience) * Desire to tackle ...

MS degree with 3+ years of experience, and/or PhD in Statistics, Data Science, Applied Mathematics, Computer Science, Physics or other related discipline (or equivalent experience) * Desire to tackle ...

Senior Data Scientist

Woburn, MA · On-site

$140K - $190K/yr

MS degree with 3+ years of experience, and/or PhD in Statistics, Data Science, Applied Mathematics, Computer Science, Physics or other related discipline (or equivalent experience) * Desire to tackle ...

Senior Data Scientist

Woburn, MA · On-site

$140 - $190/hr

MS degree with 3+ years of experience, and/or PhD in Statistics, Data Science, Applied Mathematics, Computer Science, Physics or other related discipline (or equivalent experience) * Desire to tackle ...

New

MS degree with 3+ years of experience, and/or PhD in Statistics, Data Science, Applied Mathematics, Computer Science, Physics or other related discipline (or equivalent experience) * Desire to tackle ...

D in Data Science, Computer Science, Engineering, Applied Mathematics, Physics, Physical or Biological Sciences or a related field • 5+ years of experience in Data Science or Analysis • Solid ...

D. (with 4+ years) in a quantitative discipline such as Engineering, Applied Physics/Mathematics ... Cancer Biology, Computational Biology, Data Analysis, Data Mining, Data Science, Genomic Data ...

$159K - $251K/yr

D. (with 4+ years) in a quantitative discipline such as Engineering, Applied Physics/Mathematics ... Cancer Biology, Computational Biology, Data Analysis, Data Mining, Data Science, Genomic Data ...

D. (with 4+ years) in a quantitative discipline such as Engineering, Applied Physics/Mathematics ... Cancer Biology, Computational Biology, Data Analysis, Data Mining, Data Science, Genomic Data ...

Data Scientist

Cambridge, MA · On-site

$90K - $210K/yr

D in Data Science, Computer Science, Engineering, Applied Mathematics, Physics, Physical or Biological Sciences or a related field * 5+ years of experience in Data Science or Analysis * Solid ...

next page

Showing results 1-20

Data Science Physics information

What is a Data Science Physics?

A Data Science Physics job combines physics principles with data science techniques to analyze complex datasets, build predictive models, and extract insights. Professionals in this role apply statistical methods, machine learning, and computational algorithms to solve problems in areas such as material science, astrophysics, and engineering. They often work with big data, simulations, and experimental data to improve decision-making and research outcomes.

What does a Data Science Physics do?

A typical day in Data Science Physics often involves collecting, cleaning, and analyzing large datasets derived from experimental or simulated physics research. You may spend time developing and testing predictive models, interpreting results, and visualizing data to communicate findings to colleagues and stakeholders. Collaboration is common, with regular meetings alongside scientists, engineers, and data professionals to discuss project goals or troubleshoot challenges. Additionally, you may contribute to research publications or help develop new methodologies for data analysis, making each day varied and intellectually stimulating.

What are the key skills and qualifications needed to thrive in Data Science Physics?

To thrive in Data Science Physics, you need strong analytical abilities in both physics and statistics, typically supported by an advanced degree in physics, data science, or a related field. Familiarity with tools such as Python, MATLAB, machine learning libraries (e.g., scikit-learn, TensorFlow), and experience using simulation or data visualization software are essential. Excellent problem-solving, collaboration, and communication skills help you work effectively with multidisciplinary teams and explain complex findings to non-experts. These competencies enable efficient analysis and interpretation of large scientific datasets, driving innovation and informed decision-making in research and industry settings.

Can I get a data science job with a physics degree?

A physics degree provides a strong foundation in analytical thinking, mathematics, and problem-solving, which are valuable in data science roles. Many data scientists have backgrounds in physics, and skills in programming, statistical analysis, and data visualization tools like Python, R, and SQL are often required. Gaining experience through projects, internships, or certifications can improve job prospects in this field.

How is data science used in physics?

Data science in physics involves analyzing large datasets from experiments and simulations to identify patterns, make predictions, and develop models. Physicists use tools like machine learning, statistical analysis, and data visualization to interpret complex phenomena and advance understanding in areas such as particle physics, astrophysics, and condensed matter research.

What are the most commonly searched types of Data Science Physics jobs in Massachusetts?

The most popular types of Data Science Physics jobs in Massachusetts are:

What are popular job titles related to Data Science Physics jobs in Massachusetts?

For Data Science Physics jobs in Massachusetts, the most frequently searched job titles are:

Infographic showing various Data Science Physics 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.

Senior Data Scientist

STR

Woburn, MA • On-site

$140K - $190K/yr

Full-time

Posted 11 days ago


Job description

About the Team

STR's Intelligence Division researches and develops advanced analytics and machine learning-based solutions to solve challenging problems related to national security. Our team consists of passionate and motivated engineers with advanced degrees in engineering, computer science, mathematics, and data science, who are seeking opportunities to use their deep technical knowledge and creativity to tackle some of the hardest problems that our customers face. Our projects span multiple different data modalities and incorporate advanced algorithms, deep learning, and statistical techniques to uncover patterns in social media, structured and unstructured text, time series, geospatial, and imagery data, and must operate under challenging constraints not typically found in the commercial world. The tools and technologies we develop have real world impact and US Government analysts and operators use them to enable intelligence activities around the globe.

The Role

As a Senior Data Scientistyou will help research, develop, and integrate cutting-edge models and technologies into production systems that solve critical national security problems.

Working as part of a multidisciplinary team of researchers, engineers, and domain experts, you will analyze interesting and challenging datasets to develop innovative algorithmic techniques to discover trends and form valuable intelligence insights. You will explore a wide variety of quantitative models ranging from classical statistical methods to frontier language models. In addition, you will collaborate closely with customers to understand mission needs, define requirements, communicate technical developments and findings, and respond to user feedback.

This position can be based in Woburn, MA; or Arlington, VA. Applicants should expect to primarily work onsite.

What you will do:

  • Investigate and analyze exquisite multimodal datasets to identify and expose hidden patterns and trends
  • Develop, evaluate, and apply novel AI/ML models to automatically derive valuable insights for defense and intelligence analysts
  • Think critically about robust modeling capabilities that generalize to support broad application against high-impact national security problems
  • Collaborate with diverse teams to explore new domains and data modalities, investigate state-of-the-art research, tackle emerging problem spaces, and mentor others

Who you are:

  • Active Secret security clearance, for which U.S citizenship is needed by the U.S government
  • MS degree with 3+ years of experience, and/or PhD in Statistics, Data Science, Applied Mathematics, Computer Science, Physics or other related discipline (or equivalent experience)
  • Desire to tackle challenges, develop new skills, and explore unsolved problem spaces
  • Experience developing and applying AI/ML methods to real-world data science problems, especially in settings where data is sparse, noisy, and/or high dimensional
  • Familiarity with various algorithmic techniques such as Bayesian methods, predictive models, reinforcement learning, deep learning architectures, and large language models
  • Comfortable creating data visualizations and communicating technical findings
  • Proficient with Python and the traditional data science and machine learning stack, including NumPy, Pandas, scikit-learn, PyTorch, and matplotlib
  • Demonstrated ability to collaborate effectively within cross-functional teams and communicate with customers and end users

Even better:

  • Familiarity with geospatial and/or spatiotemporal data
  • Demonstrated ability to conduct and lead research tasks amidst uncertain conditions with minimal oversight
  • Experience working with large datasets (> 100 GB) and familiarity with big data infrastructure and frameworks such as AWS, Hadoop, Spark, Dask, or MapReduce
  • Solid understanding of software engineering principles, including testing, scalability, observability, maintainability, and performance optimization
  • Active Top Secret security clearance
  • Experience in intelligence and military-related mission areas

Pay Information
Full-Time Salary Range: $140,000 - $190,000

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.