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Data Science Jobs in Worcester, MA (NOW HIRING)

Mondo

Data Product Manager

Marlborough, MA · Remote

$50 - $65/hr

This role will partner closely with business stakeholders, data engineering, and data science teams to ensure data solutions deliver measurable business value. Day-to-Day Responsibilities: * Own the ...

Xometry

Principal Data Scientist - Gen AI

Waltham, MA · On-site

S. or PhD) in computer science, machine learning, AI, or a related field is highly preferred ... data processing (e.g., combining text, image, and 3D data). Strong background in probability ...

Waters Corporation

Sr. Data Engineer

Milford, MA

$125K - $150K/yr

Collaborate with process analysts, data scientists, and domain experts to ensure alignment on business objectives and technical requirements * Build and customize data models, apps, automations, etc ...

Waters Corporation

Sr. Data Engineer

Milford, MA · On-site

$125K - $150K/yr

Collaborate with process analysts, data scientists, and domain experts to ensure alignment on business objectives and technical requirements * Build and customize data models, apps, automations, etc ...

Waters Corporation

Sr. Data Engineer

Milford, MA · On-site

$125K - $150K/yr

Collaborate with process analysts, data scientists, and domain experts to ensure alignment on business objectives and technical requirements * Build and customize data models, apps, automations, etc ...

Waters Corporation

Sr. Data Engineer

Milford, MA · On-site

$125K - $150K/yr

Collaborate with process analysts, data scientists, and domain experts to ensure alignment on business objectives and technical requirements * Build and customize data models, apps, automations, etc ...

Synex Talent

Oncology Data Specialist

Northborough, MA · Remote

$120K - $150K/yr

Associate's degree in Data Science, Health Informatics, or a related field * 1-3 years of experience in data analysis or a related role * Strong analytical skills with a focus on oncology-related ...

Synex Talent

Oncology Data Specialist

Northborough, MA · Remote

$150K - $200K/yr

Bachelor's degree in Data Science, Health Informatics, or a related field * 1+ years of experience in data management or a related role * Proficiency in data analysis tools and statistical software ...

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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.

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 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 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 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.

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.
More about Data Science jobs

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For Data Science jobs in Worcester, MA, the most frequently searched job titles are:

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Cities near Worcester, MA with the most Data Science job openings:

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 AND ANALYTICS ARCHITECT

City of Worcester

Worcester, MA • On-site

$93K - $122K/yr

Full-time

Re-posted yesterday

City Of Worcester rating

7.2

Company rating: 7.2 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

621st of 846 rated public administrative organizations

Job description

DATA & ANALYTICS ARCHITECT
DEPARTMENT OF INNOVATION AND TECHNOLOGY
CITY OF WORCESTER
The City of Worcester is seeking qualified applicants for a Data & Analytics Architect in the Innovation and Technology Department. Under the direction of the GIS Manager, this position plays a pivotal role in enabling data-driven decision-making across the organization by combining the analytical rigor of a data scientist with the strategic foresight of a data architect. The Data and Analytics Architect will design and implement data models, develop predictive analytics, and ensure the integrity, accessibility, and security of enterprise data assets. This role supports the City's mission by transforming data into actionable insights that improve public services, operational efficiency, and policy outcomes.
Bilingual applicants are encouraged to apply.
ESSENTIAL ELEMENTS:
  • Collaborate with departments to define data strategies, metrics, and governance frameworks.
  • Develop and maintain enterprise data architecture at conceptual, logical, and application levels.
  • Establish and enforce data quality, metadata, and data stewardship standards.
  • Contribute to the development of data management policies, including privacy, compliance, and retention.
  • Contribute to the development of AI policies and assessments.
  • Design and implement data models to support enterprise applications and reporting needs.
  • Develop and deploy statistical models, machine learning algorithms, and data mining techniques.
  • Analyze large, complex datasets to identify trends, patterns, and actionable insights.
  • Create dashboards and visualizations to communicate findings to technical and non-technical stakeholders.
  • Maintain a strong understanding and awareness of large language models and artificial intelligence tools, as well as their ability to support City priorities.
  • Support the integration of data across systems (e.g., ERP, CRM, GIS) to ensure consistency and usability.
  • Collaborate with IT teams to implement data pipelines, APIs, and ETL processes.
  • Collaborate with IT teams to implement integrations with large language and AI platforms.
  • Evaluate and recommend tools, platforms, and technologies for data storage, processing, and analysis.
  • Monitor and improve data architecture performance, scalability, and reliability.
  • Provide guidance to IT staff and business users around approved AI tools, their effective use, and compliance with policy.
  • Provide technical guidance to analysts and developers on data best practices.
  • Document data flows, models, and architecture to maintain transparency and continuity.
  • Participate in disaster recovery planning and ensure data backup and business continuity protocols are in place.

REQUIRED KNOWLEDGE, SKILLS, AND ABILITIES:
  • Proficiency in SQL, Python, or R.
  • Familiarity with relational and NoSQL databases.
  • Understanding of data governance, metadata management, and data lifecycle practices.
  • Familiarity with cloud platforms (Azure, AWS) and big data frameworks (Hadoop, Spark).
  • Ability to integrate data across systems (ERP, CRM, GIS, AI platforms).
  • Experience designing and implementing data models
  • Experience with data visualization tools (e.g., Power BI, Tableau)
  • Experience developing enterprise data strategies and governance frameworks
  • Experience supporting AI policy development and implementing AI tools
  • Strong problem-solving skills, with the ability to diagnose complex data, integration, or platform issues
  • Ability to optimize systems for performance, reliability, and cost efficiency across the data lifecycle
  • Ability to work independently and part of a team in a fast-paced environment
  • Ability to prioritize and execute tasks in high-pressure environments.
  • Proven analytical and problem-solving abilities.
  • Strong written, oral, and interpersonal communication skills.
  • Ability to present technical concepts in business-friendly language.
  • Highly self-motivated, detail-oriented, and collaborative.
  • Adheres to confidentiality requirements and data protection standards
  • Regular onsite attendance is required.

MINIMUM REQUIREMENTS:
  • Bachelor's degree in computer science, data science, information systems, statistics, or a related field; OR
    • Any equivalent combination of education, training and five (5) years of relevant experience which provides the required knowledge, skills, and abilities to perform the essential functions of the position may be considered in lieu of above requirement(s).
  • Valid driver's license and access to reliable transportation
  • Five (5) years of experience in data science, data architecture, or a related field.
  • Proven experience with data modeling, statistical analysis, and enterprise data integration.
  • Two (2) years of experience designing and implementing data models.
  • Two (2) years of experience with data visualization tools (e.g., Power BI, Tableau).
  • Two (2) years of experience developing enterprise data strategies and governance frameworks.
  • Two (2) years of experience supporting AI policy development and implementing AI tools.

PREFERRED REQUIREMENTS:
  • Master's degree in computer science, data science, information systems, or a related field.
  • Relevant certifications (e.g., Certified Data Management Professional, Microsoft Azure Data Engineer, AWS Data Analytics).
  • Seven (7) years of experience in data science, data architecture, or a related field.
  • Five (5) years of experience with AI policy development and integration of large language models.
  • Three (3) years of experience with data stewardship, privacy, compliance, and retention policies.
  • Three (3) years of experience with disaster recovery planning and business continuity protocols.
  • Familiarity with public sector data systems and regulatory requirements.

SALARY RANGE: $93,232 - $122,661 annually, full-time, exempt, with an excellent benefits package.
To apply, please visit: www.worcesterma.gov/employment or send resume and cover letter to: City of Worcester, 455 Main Street, Room 109, Worcester, MA 01608. OPEN UNTIL FILLED, applications received prior to or on FRIDAY, JULY 31, 2026, will receive preference. Preference is given to Worcester residents. The City of Worcester is an equal opportunity, affirmative action employer. Women, minorities, people with disabilities and protected veterans are encouraged to apply. Direct inquiries to: City Hall, Human Resources, Room 109, 508-799-1030, Hiring@worcesterma.gov .

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