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Data Science Jobs in Worcester, MA (NOW HIRING)

AbbVie

Data Scientist

Worcester, MA · 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 ...

AbbVie

Data Scientist

Worcester, MA

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 ...

Xometry

Senior Data Scientist, Costing

Waltham, MA · Hybrid

Use data science and machine learning principles to develop effective predictive models * Write software to prepare, clean, and sample data for use in developing predictive models * Use cloud ...

Xometry

Senior Data Scientist, Costing

Waltham, MA · On-site

Use data science and machine learning principles to develop effective predictive models * Write software to prepare, clean, and sample data for use in developing predictive models * Use cloud ...

Xometry

Staff Data Scientist

Waltham, MA · Hybrid

Define and own the 12-month science roadmap for this strategic partnership. You will bridge the gap ... Anticipate technical hurdles in ring-fenced data environments and enterprise-grade deployments. You ...

Xometry

Staff Data Scientist

Waltham, MA · On-site

Define and own the 12-month science roadmap for this strategic partnership. You will bridge the gap ... A minimum of 8 years in data science/ML with a Bachelor's; 5-6+ years with a Master's; or a PhD ...

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Showing results 21-40

All JobsData Science JobsData Science Jobs in Worcester, MA

Data Science information

See Worcester, MA salary details

$37.4K

$122.5K

$196.1K

How much do data science jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data science in Worcester, MA is $122,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,300.00 and $135,700.00 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.
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For Data Science jobs in Worcester, MA, the most frequently searched job titles are:

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Data Science jobs near you
Infographic showing various Data Science job openings in Worcester, MA as of August 2026, with employment types broken down into 85% Full Time, and 15% Part Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $122,471 per year, or $58.9 per hour.

Data Scientist

AbbVie

Worcester, MA • On-site

$96K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago

AbbVie rating

8.6

Company rating: 8.6 out of 10

Based on 101 frontline employees who took The Breakroom Quiz

16th of 86 rated pharmaceutical

Job description

Company Description
About AbbVie
AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.
Job Description
This is an exciting opportunity to work on a cross-functional team preparing data and enabling modeling activities in support of Product Development and Manufacturing Sciences organizations at AbbVie.
Within the Product Development laboratories, the objective is to partner with modeling SMEs and the Digital organization to prepare data from source systems and data lakes, and enable model execution for statistical, hybrid and mechanistic models, with the ultimate objective to streamline and automate the process from data collection through model execution in a "Lab-in-the-Loop" environment. This environment should enable end-to-end automation of laboratory data and modeling in a way that is accessible for all laboratory scientists to access. It should also provide an opportunity to gain a deep understanding of bioprocess data, and also to learn multivariate, hybrid and machine learning modeling in support of deeper scientific insights, and upholding the highest standards of quality and productivity.
Responsibilities:
  • Partner with Manufacturing Sciences, the objective is to compile, clean and feature engineer the same laboratory and commercial data sets for multivariate and hybrid "Digital Twin" process models,
  • Partner with the Digital organization to deliver end-to-end data pipelines, products, and models from successful proofs of concept.
  • Routinely demonstrate scientific initiative and creativity in research or development activities.
  • Highly autonomous and productive in performing laboratory research or method development, requiring only minimal direction from or interaction with supervisor.
  • Formulate conclusions and design follow-on experiments based on multidisciplinary data.
  • May initiate new areas of investigation that are scientifically meaningful, reliable, and can be incorporated directly into a research or development program.
  • A primary author of publications, presentations, regulatory documents and/or primary inventor of patents.
  • Demonstrates high proficiency across a wide range of relevant technologies.
  • Understand and adhere to corporate standards regarding code of conduct, safety, appropriate handling of materials, controlled drug and radioactive compounds, GxP compliance, and animal care where applicable.

Qualifications
  • Bachelor's Degree or equivalent education and typically 10 years of experience, Master's Degree or equivalent education and typically 8 years of experience, PhD and no experience necessary.
  • Possess thorough theoretical and practical understanding of own scientific discipline.

Preferred Qualifications:
  • 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 standard cloud-based data lake infrastructure
  • Experience using source code management tools (e.g. GitHub)
  • Familiarity with data pipeline tools such as KNime, dbt, etc.
  • Familiarity with model management and pipeline tools preferred (ML Flow, DataBricks, etc.)
  • Familiarity or willingness to learn ServiceNow and support application owner and access review for data and modeling capabilities
  • Experience with biotech data systems preferred: AVEVA PI, LIMS, ELN, MES, ERP, etc.
  • Experience with laboratory automation and data
  • Some experience with BI tools preferred (e.g. Spotfire, PowerBI, etc.)
  • Experience in SIMCA, JMP, or hybrid modeling preferred
  • Interest in learning, or experience with process, statistical, hybrid, mechanistic, and/or machine learning models.

Additional Information
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
  • The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
  • We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
  • This job is eligible to participate in our short-term incentive programs.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law.
AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.
US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
https://www.abbvie.com/join-us/reasonable-accommodations.html

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About AbbVie

Sourced by ZipRecruiter

AbbVie's mission is to discover and deliver innovative medicines that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas: immunology, oncology, neuroscience, eye care, virology, women's health, and gastroenterology, in addition to products and services across its Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube, and LinkedIn.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

North Chicago, IL, US

Year founded

2013

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