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Python Data Scientist Jobs in Massachusetts (NOW HIRING)

As a Senior Data Scientist, you will develop disruptive technologies for signals exploitation and ... Python, C/C++ • Able to work and collaborate on multi-disciplinary teams • Able to communicate ...

Bayesian Data Scientist

Cambridge, MA · On-site

$90K - $210K/yr

MORSE is searching for an experienced Data Scientist with expertise in Bayesian statistics ... Proficiency in one or more programming languages like Python, Matlab, C, or C++ * Demonstrated ...

Bayesian Data Scientist

Cambridge, MA · On-site

$90K - $210K/yr

MORSE is searching for an experienced Data Scientist with expertise in Bayesian statistics ... Proficiency in one or more programming languages like Python, Matlab, C, or C++ * Demonstrated ...

Data Scientist - NYC

Boston, MA · On-site

$100 - $200/hr

Our team brings data science and machine learning to the private equity investment process ... Experience writing code in Python * Experience handling terabyte-sized datasets, discovering hidden ...

Data Scientist - NYC

Boston, MA · On-site

$100 - $200/hr

Our team brings data science and machine learning to the private equity investment process ... Experience writing code in Python * Experience handling terabyte-sized datasets, discovering hidden ...

Proven experience in the use of the main data-science, analytics, modeling and visualization Python libraries, including machine learning and deep learning * Strong data-centric ML development ...

Senior Data Scientist

Boston, MA · On-site +1

$140K/yr

You prefer Python to R and don't understand why there is still a debate. Jupyter is a necessary ... D in Computer Science, Data Science, Biostatistics, Mathematics, or similar related field AND 1-2 ...

Data Scientist

Needham, MA · On-site

$100 - $130/hr

We are looking for a Data Scientist to join our Research Team. The Beaconcure Research Team ... Strong Python skills and experience with deep learning frameworks. * Familiarity with cloud-based ...

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

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

Data Scientist

Worcester, MA · On-site

$96K/yr

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

Data Scientist

Boston, MA · On-site

$80 - $130/hr

Master's degree in Data Science, Computer Science, Statistics, Mathematics, or equivalent work ... Proficiency in Python and/or R, with strong programming and scripting skills (SQL, shell scripting)

Data Scientist

Boston, MA · On-site

$80 - $130/hr

Master's degree in Data Science, Computer Science, Statistics, Mathematics, or equivalent work ... Proficiency in Python and/or R, with strong programming and scripting skills (SQL, shell scripting)

Showing results 21-40

Python Data Scientist information

See Massachusetts salary details

$41K

$134K

$214.6K

How much do python data scientist jobs pay per year?

As of Aug 18, 2026, the average yearly pay for python data scientist 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.

What is a Python data scientist?

A Python Data Scientist is a professional who uses Python programming language and its data analysis libraries to extract insights from large datasets. They apply statistical techniques, machine learning algorithms, and data visualization tools to solve business problems and make data-driven decisions. Python Data Scientists often work with tools like pandas, NumPy, scikit-learn, and Jupyter notebooks to manipulate data and build predictive models. Their role typically involves collecting, cleaning, analyzing, and interpreting complex data to help organizations make informed decisions.

What are some common challenges faced by Python data scientists when working with large datasets?

Python Data Scientists often encounter challenges related to processing and analyzing large datasets, such as memory limitations and slow computation times. To address these, professionals typically use libraries like Pandas, Dask, or PySpark to optimize data handling and leverage parallel computing. Collaborating closely with data engineers and IT teams can also help in setting up efficient data pipelines and scalable infrastructure. Staying updated with best practices in data preprocessing and model optimization is crucial for managing these challenges effectively.

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

To thrive as a Python Data Scientist, you need strong analytical skills, a solid understanding of statistics, machine learning, and proficiency in Python programming, typically backed by a degree in computer science or a related field. Familiarity with tools and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and version control systems like Git is essential. Problem-solving, curiosity, and effective communication are standout soft skills for this role. These abilities are crucial for extracting actionable insights from data, building predictive models, and collaborating across multidisciplinary teams.

What is the difference between Python Data Scientist vs Data Analyst?

AspectPython Data ScientistData Analyst
Required SkillsPython, machine learning, statistical analysis, data modelingExcel, SQL, basic statistics, data visualization
CertificationsData Science certifications, Python programming coursesData analysis or business intelligence certifications
Work EnvironmentData science teams, R&D, predictive modeling projectsBusiness units, reporting, data visualization tasks
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Python Data Scientists focus on building predictive models and advanced analytics using Python, while Data Analysts primarily interpret data through visualization and reporting. Both roles require strong analytical skills, but Python Data Scientists typically have more programming and machine learning expertise, making them suitable for complex data projects.

How much do Python data scientists make?

Python data scientists typically earn between $80,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and big data can command higher salaries, often exceeding $150,000. Compensation may also include bonuses and stock options in some companies.

Is Python good for data science?

Python is widely used by data scientists due to its simplicity, extensive libraries like Pandas, NumPy, and scikit-learn, and strong community support. It enables efficient data analysis, modeling, and visualization, making it a preferred programming language in the data science field.

What are popular job titles related to Python Data Scientist jobs in Massachusetts?

For Python Data Scientist jobs in Massachusetts, the most frequently searched job titles are:

Infographic showing various Python Data Scientist job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $134,046 per year, or $64.4 per hour.

Data Scientist (CLEARANCE REQUIRED)

STR

Woburn, MA • On-site

Full-time

Re-posted 7 days ago


Job description

Job Summary:
STR is a technology company focused on advanced research and development for defense, intelligence, and national security. As a Senior Data Scientist, you will develop disruptive technologies for signals exploitation and system resource management, contributing to data analysis and engineering software while collaborating with project teams and customers.
Responsibilities:
• Help develop disruptive technologies focused on signals exploitation, estimation theory, system resource management, and systems analysis.
• Contribute to data analysis, engineering software, and validation/verification of cutting-edge algorithms for novel application domains and modalities.
• Explore fascinating datasets, develop cutting-edge algorithmic techniques, and solve high-impact, unique problems for our customers.
• Participate on project teams and interact with customers.
Qualifications:
Required:
• 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++)
• 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
Preferred:
• 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
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.