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Python Data Scientist Jobs in Massachusetts (NOW HIRING)

CarGurus

Principal Data Scientist

Boston, MA

High proficiency in Python (or a similar languages widely used in the data science community) and SQL, plus experience establishing coding, testing, and reproducibility standards (e.g., shared ...

Recruitment Events Calendar

Data Scientist

Lowell, MA · On-site

$125.78K/yr

... as SQL, Python, or R and modern data platform tools. Volunteer Experience : Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g ...

The Hollister Group

Data Scientist - NYC

Boston, MA · On-site

$100 - $200/hr

Data Scientist Our client is seeking a talented Data Scientist to join their team as an independent ... Experience writing code in Python * Experience handling terabyte-sized datasets, discovering hidden ...

The Hollister Group

Data Scientist

Boston, MA · On-site

$80 - $130/hr

Data Scientist We are The Hollister Group , the Boston area's leading women-owned staffing firm. We ... Proficiency in Python and/or R , with strong programming and scripting skills (SQL, shell scripting)

Definitive Healthcare, US

Data Scientist

Framingham, MA

$92K - $172K/yr

We are looking for a Data Scientist to help shape the next generation of analytics that power our ... Expert proficiency in Python, SQL, and Jupyter Notebook environments. * Hands‑on experience with ...

Definitive Healthcare, US

Data Scientist

Framingham, MA · On-site

$92K - $172K/yr

We are looking for a Data Scientist to help shape the next generation of analytics that power our ... Expert proficiency in Python, SQL, and Jupyter Notebook environments. * Hands-on experience with ...

MORSE Corp

Data Scientist- TS/SCI

Cambridge, MA · On-site

... Python, C, C++, Java, or MATLAB. • Work with customers, stakeholders, and other vendors to ... D in Data Science, Computer Science, Engineering, Applied Mathematics, Physics, Physical or ...

Vectra AI

Data Scientist II

Boston, MA · On-site

The Data Scientist II role involves applying machine learning and data modeling to enhance ... Python and object-oriented programming • Ability to work with datasets using SQL or other ...

CarGurus

Senior Data Scientist

Boston, MA · On-site

$144K - $181K/yr

Implement, train, and evaluate machine learning models using Python and AWS SageMaker. * Develop ... Design A/B tests of the Data Science team's models and analyze their results * Communicate ...

Samprasoft

Data Engineer - AWS, Python, SQL

Boston, MA · On-site

$124.40K - $149.40K/yr

... Science, etc.). 5+ years of experience in implementing data solutions in data analytics space. 1-2 ... Extensive experience in Object Oriented Programming (Java, Scala, Python), data movement ...

Roberts Recruiting

Senior Data Scientist

Boston, MA

The Data Scientist will analyze and model expected crop yield under various scenarios. Using large ... Absolutely high fluency with R and/or Python and Bayesian MCMC tools such as JAGS or STAN, as well ...

Xometry

Senior Data Scientist, Costing

Waltham, MA · Hybrid

Xometry is seeking a Senior Data Scientist to our sourcing team. The ideal candidate will have a ... Use data analysis and visualization tools (examples include SQL, Python, Jupyter Notebooks, and ...

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How much do python data scientist jobs pay per year?

As of May 28, 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 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 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 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.

Is data science dead in 10 years?

As a Python Data Scientist, the field of data science is expected to evolve rather than become obsolete in 10 years. Advances in automation, machine learning tools, and increased data availability will likely shift the focus toward more specialized skills, but data science roles will continue to be essential for interpreting data and developing insights. Staying current with programming languages like Python and tools such as TensorFlow or scikit-learn will remain important for job relevance.

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.

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:
What job categories do people searching Python Data Scientist jobs in Massachusetts look for? The top searched job categories for Python Data Scientist jobs in Massachusetts are:
Python Data Scientist jobs near you
Principal Data Scientist

Principal Data Scientist

CarGurus

Boston, MA

Other

Posted 3 days ago

Job description

Role overview

As a core member of the Data Science team, the Principal Data Scientist will lead the design and development of high-impact machine learning systems that power CarGurus' core products and strategic initiatives.  You will own models and data pipelines end-to-end from problem framing and experimentation through production deployment, monitoring, and continuous improvements. Potential areas of support and ownership include Recommendations, Search Ranking, Instant Market Value algorithms, and new ML-driven product capabilities.

What you'll do

  • Own the endtoend design and implementation of production ML models and systems, including model architecture, feature strategy, and evaluation methodology. 
  • In partnership with Data and Analytics teams, develop and maintain data pipelines to supply training and inference data for models, using SQL and Snowflake.
  • Collaborate with engineering leaders on system and API design to ensure ML solutions meet requirements for latency, reliability, observability, and maintainability in production.
  • Apply best practices for experimentation and model evaluation, including offline metrics, A/B testing design, and postlaunch analysis; coach other data scientists in applying these practices rigorously.
  • Communicate solutions to stakeholders through written documentation, demos and presentations, and data visualizations tailored to both technical and nontechnical audiences.

What you'll bring

  • 7+ years of experience in Data Science or Machine Learning roles, with a consistent track record of shipping, owning, and iteratively improving production ML systems that drive material business impact.
  • Deep expertise in Machine Learning techniques for supervised and unsupervised learning across structured and unstructured datasets. Comprehensive knowledge of, and real-world experience with, measurement, evaluation, and testing of models.
  • Proven experience deploying and maintaining machine learning services in production, ideally in a cloud environment (e.g. AWS, SageMaker, Snowflake).
  • High proficiency in Python (or a similar languages widely used in the data science community) and SQL, plus experience establishing coding, testing, and reproducibility standards (e.g., shared libraries, experiment tracking, templates).
  • Ability to communicate technical details, tradeoffs, and analytical findings to audiences ranging from engineers to senior business leaders, using clear narratives and datadriven recommendations.
  • Advanced degree (or proven experience) in Computer Science, Data Science, Mathematics, or any quantitative science which makes use of advanced data analytics or statistical or machine learning techniques

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