1

Data Science Jobs in Harvard, MA (NOW HIRING)

Data Scientist (CLEARANCE REQUIRED)

Woburn, MA ยท On-site

$110K - $138K/yr

... computer science, mathematics, physics, and data science. We use our expertise and creativity to take innovative ideas from conception to mature implementation to improve mission success of our ...

Bachelor's degree in a quantitative field (e.g., Computer Science, Data Science, Information Systems, Engineering) with 4-6 years of handson experience * Experience supporting Power BI or similar BI ...

... science โ€ข Experience building data analysis pipelines using standard tools (e.g., Python, C++), including implementing software to identify key metrics for various data sets โ€ข Experience ...

... or data science โ€ข Experience building data analysis pipelines using standard tools (e.g., Python, C++) โ€ข Experience designing and implementing experiments to verify and compare algorithm ...

Senior Financial Analyst - Data Science

Andover, MA ยท On-site

$86K - $107K/yr

Leverage data science, robotic process automation, artificial intelligence, and other emerging technologies to improve process efficiency and deliver advanced analytics solutions to Finance and ...

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 and collaborate on multi ...

Data Scientist (CLEARANCE REQUIRED)

Woburn, MA ยท On-site

$110K - $138K/yr

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 and collaborate on multi ...

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 and collaborate on multi ...

... computer science, mathematics, physics, and data science. We use our expertise and creativity to take innovative ideas from conception to mature implementation to improve mission success of our ...

Data Scientist

Worcester, MA ยท On-site

$96K/yr

Masters in Data Engineering, Data Science or related * Prior experience in biotech or pharmaceuticals preferred * Strong experience in programming, including Python, SQL, etc. * Experience with ...

New

Masters in Data Engineering, Data Science or related * Prior experience in biotech or pharmaceuticals preferred * Strong experience in programming, including Python, SQL, etc. * Experience with ...

New

Masters in Data Engineering, Data Science or related * Prior experience in biotech or pharmaceuticals preferred * Strong experience in programming, including Python, SQL, etc. * Experience with ...

New

Master's in Data Science, Computational Biology, Biomedical Informatics, AI, or related scientific field or equivalent experience in technical analysis. In lieu of a Master's degree, a bachelor ...

Showing results 21-40

Data Science information

See Harvard, MA salary details

$38.2K

$125.2K

$200.4K

How much do data science jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data science in Harvard, MA is $125,162.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,400.00 and $138,700.00 per year, depending on experience, location, and employer.

Is a data scientist in high demand?

Yes, data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
What cities near Harvard, MA are hiring for Data Science jobs? Cities near Harvard, MA with the most Data Science job openings:
Infographic showing various Data Science job openings in Harvard, MA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 79% In-person, 5% Hybrid, and 16% Remote job distribution, with an average salary of $125,162 per year, or $60.2 per hour.

Data Scientist (CLEARANCE REQUIRED)

STR

Woburn, MA โ€ข On-site

$110K - $138K/yr

Full-time

Re-posted 28 days ago


Job description

About the Team

STR's Analytics & C2 (AC2) Division researches and develops novel technologies to solve challenging national security problems through advanced analytics and C2 technologies. Our team consists of passionate and motivated engineers and scientists with advanced degrees in engineering, computer science, mathematics, physics, and data science. We use our expertise and creativity to take innovative ideas from conception to mature implementation to improve mission success of our customers.

The Signals Exploitation and Tracking (SET) Group in the Analytics and C2 Division focuses on applying machine learning, statistics, estimation theory, and information theory algorithms for signals exploitation, target tracking, predictive analytics, and system resource management.

The Role

As a Senior Data Scientist at STR, you will help develop disruptive technologies focused on signals exploitation, estimation theory, system resource management, and systems analysis.ย  You will contribute to data analysis, engineering software, and validation/verification of cutting-edge algorithms for novel application domains and modalities.ย  You will explore fascinating datasets, develop cutting-edge algorithmic techniques, and solve high-impact, unique problems for our customers. In addition, you will participate on project teams and interact with customers. We are looking for someone to join our team onsite as this position is based in the Woburn, MA office.

Who you are:

  • Active Top Secret Clearance Required with SCI eligibility, for which U.S citizenship is needed by the U.S government
  • Have experience in intelligence or military-related mission areas
  • MS degree or a BS degree with at least 2 years of experience, in a scientific field such as applied math, physics, electrical engineering, computer science, or data science
  • Experience building data analysis pipelines using standard tools (e.g., Python, C++), including implementing software to identify key metrics for various data sets
  • Experience designing and implementing experiments to verify and compare algorithm performance with measured data and/or simulations using standard analysis tools (e.g., Python)
  • 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 and collaborate on multi-disciplinary teams
  • Able to communicate technical foundations findings to technical and non-technical audiences

Even better:

  • Have experience in statistical inference, systems simulation capabilities, Monte Carlo or optimization methods, and/or data structures
  • Have expertise working with time-series data (sampled signals and/or discrete detection series)
  • Have expertise working with geospatial and/or spatio-temporal data

Pay Information
Full-Time Salary Range: $110,000 - $138,000

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.