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Remote Data Science Jobs in Worcester, MA (NOW HIRING)

Mondo

Data Product Manager

Marlborough, MA · Remote

$50 - $65/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Remote (Preference for candidates local to Marlborough, MA) Start Date Is: ASAP Duration: 6-month ... Partner with data engineering and data science teams to deliver scalable data solutions.

Synex Talent

Oncology Data Specialist

Northborough, MA · Remote

$120K - $150K/yr

... remote position. Based in Northborough, this role plays a crucial part in harnessing data to ... Associate's degree in Data Science, Health Informatics, or a related field * 1-3 years of ...

Synex Talent

Oncology Data Specialist

Northborough, MA · Remote

$150K - $200K/yr

This full-time, remote position allows you to leverage your expertise in the health and fitness ... Bachelor's degree in Data Science, Health Informatics, or a related field * 1+ years of experience ...

Nucs AI

Machine Learning Scientist

Berlin, MA · On-site +1

  • Medical

  • Vision

... data integration - and see those methods reach real clinical settings. You'll work at the ... Your work will directly shape our product capabilities and contribute to peer-reviewed science.

Resource Innovations

Energy Engineer

Needham, MA · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Responsibilities may include remote data analysis, desktop engineering review, savings calculations ... Building Science, or a related technical field. * At least 2 years of relevant experience in ...

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All JobsData Science JobsRemote Data Science JobsRemote Data Science Jobs in Worcester, MA

Remote Data Science information

See Worcester, MA salary details

$24.1K

$107K

$204.2K

How much do remote data science jobs pay per year?

As of Aug 14, 2026, the average yearly pay for remote data science in Worcester, MA is $106,988.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,264.00 and $148,396.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

What are the qualifications to get a remote data science job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

Can I work remotely as a remote data scientist?

Yes, many remote data scientist positions are available, allowing professionals to work from anywhere with a reliable internet connection. These roles often require skills in programming, data analysis, and familiarity with tools like Python, R, or SQL, and may involve collaboration through online platforms. Remote work arrangements are common in the data science field, especially with the increasing adoption of cloud-based tools and flexible schedules.

What is the difference between Remote Data Science vs Remote Data Analyst?

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

More about Remote Data Science jobs

What are the most commonly searched types of Data Science jobs in Worcester, MA?

The most popular types of Data Science jobs in Worcester, MA are:

What are popular job titles related to Remote Data Science jobs in Worcester, MA?

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

What job categories do people searching Remote Data Science jobs in Worcester, MA look for?

The top searched job categories for Remote Data Science jobs in Worcester, MA are:

What cities near Worcester, MA are hiring for Remote Data Science jobs?

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

Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Worcester, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $106,988 per year, or $51.4 per hour.

Data Scientist (Hybrid Worcester, MA or Remote)

thg

Worcester, MA • On-site, Remote

Full-time

Posted 4 days ago

Job description

Our Personal Lines team is currently seeking a Data Scientist in our Worcester, MA office on a hybrid arrangement or fully remote work location. This is a full-time, exempt role.

Join a Team Where Data Drives Strategy:

At The Hanover, data science is a key driver of how we understand risk, improve customer experiences, and make smarter business decisions. We're looking for a curious, analytical, and collaborative Data Scientist to join our Personal Lines Analytics team.

In this role, you'll apply advanced analytics, machine learning, and statistical modeling techniques to solve meaningful business challenges across our Personal Lines organization. You'll work alongside business leaders, product managers, actuaries, and data scientists to transform complex data into actionable insights that influence underwriting, pricing, customer experience, and growth strategies.

This is an opportunity to work with large and complex datasets, develop production-ready analytical solutions, and help shape the future of a data-driven insurance organization.

Why Join The Hanover?

  • Work on high-impact analytics projects that directly influence business strategy and outcomes.
  • Partner with experienced data scientists, actuaries, and business leaders across the organization.
  • Access large-scale datasets and real-world business challenges that offer meaningful analytical opportunities.
  • Grow your technical and business skills while developing expertise in predictive analytics and machine learning.
  • Be part of a collaborative team that values innovation, continuous learning, and knowledge sharing.
  • Help modernize how a leading insurance organization uses data to serve customers and manage risk.

 

IN THIS ROLE, YOU WILL:

  • Develop and deploy predictive models, machine learning solutions, and statistical analyses to solve business problems.
  • Explore large datasets to identify patterns, trends, opportunities, and risks that drive business performance.
  • Partner with Personal Lines leaders and cross-functional stakeholders to understand business objectives and translate them into analytic solutions.
  • Design experiments, conduct exploratory analyses, and evaluate model performance to generate actionable insights.
  • Research and apply emerging data science methods, tools, and technologies to enhance business outcomes.
  • Communicate findings and recommendations through compelling visualizations, presentations, and storytelling tailored to technical and non-technical audiences.
  • Collaborate with data engineers and analytics partners to develop scalable, efficient, and sustainable analytical solutions.
  • Contribute to a culture of continuous learning, innovation, and analytical excellence.

 

WHAT YOU NEED TO APPLY:

Required Qualifications

  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Analytics, Economics, or a related quantitative field.
  • 2-6 years of experience applying data science, machine learning, advanced analytics, or statistical modeling in a business environment.
  • Experience using Python and/or R for data analysis and model development.
  • Strong foundation in statistical analysis, predictive modeling, machine learning, and data mining techniques.
  • Experience working with large datasets and relational databases.
  • Ability to translate business questions into analytical approaches and communicate results effectively.
  • Strong problem-solving skills and intellectual curiosity.

Preferred Qualifications

  • Master's degree in Data Science, Statistics, Applied Mathematics, Computer Science, or a related field.
  • Experience building and deploying machine learning models in production environments.
  • Familiarity with cloud-based analytics platforms and modern data science workflows.
  • Insurance, financial services, or other risk-based industry experience.
  • Experience with data visualization and storytelling tools.

This job posting provides cursory examples of some of the job duties associated with this position. The examples provided are not complete, and the position may entail other essential and job-related functions and responsibilities that employees will be required to perform. 

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