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Python Data Scientist Jobs in Massachusetts (NOW HIRING)

... including Python, with applied use of SQL and distributed query engines for large-scale data ... life sciences domain. * 2 years of experience with generative AI and large language models ...

New

Data Scientist

Wellesley, MA · On-site +1

$97K - $173K/yr

Data Scientist to develop and implement analytics applications and models to transform data into ... Programming in R, Hadoop, or Python;SAS or SQL programming languages;Visualization tools, including ...

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 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 ...

TRSS Data Scientists serve several Federal Law Enforcement agencies by collecting, integrating ... Advanced proficiencyin at least one programming language (Python and C++ preferred ...

New

Proficient in programming languages such as Python and/or R, with a focus on healthcare data science * Proven experience working with patient-level Real World Data, medical data and a strong ...

Data Scientist

Boston, MA · On-site

$123K - $129K/yr

Data Scientist Job Requisition: 6630.6346.7 Job Location: 40 Water St, Boston, MA 02109, Required ... Experience must include one year in each of the following: 1. Build propensity models using Python ...

Data science, machine learning, and analytics are a crucial part of this mission. These ... Experience solving real-world problems using programming languages such as SQL, Spark, and Python ...

Data Scientist

Wellesley, MA · On-site +1

$114K - $173K/yr

Data Scientist to develop and implement analytics applications and models to transform data into ... in R, Python, or SQL; • \tVisualization tools, including PowerBI or Tableau; • \tTools to ...

The data science team at FocusKPI builds models and machine learning algorithms that power all our ... Proficiency in common programming languages such as Python and SQL . * Experienced and comfortable ...

The data science team at FocusKPI builds models and machine learning algorithms that power all our ... Proficiency in common programming languages such as Python and SQL . * Experienced and comfortable ...

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Python Data Scientist information

See Massachusetts salary details

$41K

$134K

$214.6K

How much do python data scientist jobs pay per year?

As of Jun 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 does a data scientist do with Python?

A data scientist uses Python to analyze data, build models, and create visualizations. They often utilize libraries like pandas, scikit-learn, and TensorFlow to extract insights and develop predictive algorithms, making Python a key tool in their workflow.

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 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.

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 advanced skills in machine learning and big data tools can earn higher salaries, often exceeding $150,000.

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 40 too late for data science?

Age is not a barrier to becoming a Python Data Scientist. Many professionals transition into data science later in their careers by acquiring relevant skills such as Python, machine learning, and data analysis, often through online courses or certifications. Success depends on your ability to learn, adapt, and build a strong portfolio of projects regardless of age.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to optimize model performance and efficiency.

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 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 June 2026, with employment types broken down into 47% Full Time, 47% Part Time, 3% Temporary, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $134,046 per year, or $64.4 per hour.
Senior Data Scientist

$178K/yr

Other

Posted 2 days ago


Job description

Senior Data Scientist (TraceLink, Inc. - Wilmington, MA): Lead the design and
development of advanced machine learning and statistical models to support pharmaceutical
supply chain serialization, track-and-trace, compliance analytics, and shortage prediction.
Specific duties will include:

  • Architect scalable data pipelines and solutions using cloud-based platforms (AWS,
    Azure, or GCP) for processing large volumes of pharmaceutical supply chain and
    manufacturing data.
  • Apply advanced techniques in causal inference, optimization, stochastic modeling, and
    predictive analytics to tasks such as forecasting drug shortages and mitigate supply chain
    risks.
  • Develop, fine-tune, and deploy generative AI agents within Tracelink's Opus platform,
    enabling customers to interact with supply chain applications via autonomous, intelligent
    agents.
  • Implement advanced RAG (Retrieval Augmented Generation) pipelines to extract,
    connect, and query explicit and implicit relationships from large volumes of structured
    and unstructured pharma data.
  • Contribute to the design and implementation of a large-scale supply chain data warehouse
    that consolidates diverse data types and attached metadata for enabling advanced
    analytics and predictive ML solutions.
  • Collaborate with cross-functional product, engineering, and regulatory teams to translate
    complex business requirements into data science initiatives and deliver actionable
    insights.
  • Mentor and guide junior data scientists and data analysts in best practices for model
    development, validation, agent deployment, and ML product integration.
  • Evaluate emerging technologies, frameworks, and methodologies in AI/ML (including
    LLMs, agent frameworks, and predictive analytics) to continuously advance TraceLink's
    data science capabilities.
  • Communicate results and recommendations to executive leadership, emphasizing
    business value, innovation, and alignment with global regulatory requirements.
  • Integrate data science and generative AI models into customer-facing SaaS products
    within the life sciences ecosystem.

Position Requirements:
Master's degree (or foreign equivalent) in Computer Science, Data Science, Statistics,
Mathematics, or a related field, plus three (3) years of professional experience as a Data Scientist
or related role. Experience must include the following:

  1. 3 years of experience applying machine learning and advanced statistical methods including
    supervised/unsupervised learning, ensemble forecasting, causal inference, and predictive
    modeling to pharmaceutical or life sciences data.
  2. 3 years of experience in cloud-based deployment of machine learning products (AWS
    Sagemaker, Azure ML, or GCP AI/ML services), including deploying predictive models
    intoproduction SaaS environments.
  3. 3 years of experience applying optimization, stochastic modeling, and queueing theory to supply chain or logistics problems, including forecasting drug shortages and supply disruptions.
  4. 3 years of experience with programming languages including Python, with applied use of SQL and distributed query engines for large-scale data retrieval and manipulation.
  5. 3 years of experience with data visualization and communication to present findings to senior stakeholders.
  6. 3 years of experience integrating AI/ML solutions into SaaS products or enterprise platforms in the life sciences domain.
  7. 2 years of experience with generative AI and large language models including fine-tuning and Retrieval-Augmented Generation (RAG), with application to knowledge graphs and pharma supply chain intelligence.
  8. 2 years of experience building or leveraging data warehouses for integrating diverse supply chain datasets, attaching metadata, and enabling advanced analytics and predictive ML.


Salary:
$178,131/year
Full-time.
Job Site:
200 Ballardvale Street, Wilmington, MA 01887.
Please note that this position is part of TraceLink, Inc.'s employee referral program and is
eligible for an employee referral incentive.
To apply, please email resume to: khollis@tracelink.com and reference 043090-266.

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