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

Hybrid position: remote work permitted but must live within commuting distance of designated office ... Contributing to large-scale applications development, data science, or data analytics projects; and ...

Sr. Tax Manager (REMOTE)

Waltham, MA · On-site +1

$134K - $167K/yr

... designed to help scientists, researchers, and clinicians solve the world's greatest health ... Experience using Excel macros, Power BI, Alteryx and/or similar data analysis/visualization tools ...

Sr. Tax Manager (REMOTE)

Waltham, MA · Remote

$134K - $167K/yr

... designed to help scientists, researchers, and clinicians solve the world's greatest health ... Experience using Excel macros, Power BI, Alteryx and/or similar data analysis/visualization tools ...

... data science teams or working independently - to define metrics and interpret test results. You ... Tripadvisor Group takes a remote-friendly approach to collaboration across a worldwide team, with ...

New

... data science teams or working independently - to define metrics and interpret test results. You ... Tripadvisor Group takes a remote-friendly approach to collaboration across a worldwide team, with ...

New

Our Virtual Data Pipeline technology decouples data from infrastructure, enabling dramatic ... You will also work with cross-functional teams work with developers, Product Managers and Remote QA ...

Showing results 41-60

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 Sep 5, 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 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).

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 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.

Can I work remotely as a data scientist?

Yes, many data scientist roles are available as remote positions, especially in companies that prioritize flexible work arrangements. Remote data scientists typically need strong skills in programming, data analysis, and tools like Python or R, and may require familiarity with cloud platforms and collaboration tools. Availability depends on the employer's policies and the specific job requirements.

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:

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, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $106,988 per year, or $51.4 per hour.

Claims Insights - Sr Data Analyst (Worcester, MA or Remote)

thg

Worcester, MA • On-site, Remote

Full-time

Posted 16 days ago


Job description

Our Claims Insights team is currently seeking a Senior Data Analyst in our Worcester, MA location or remote work location.  This is a full-time, exempt role.

POSITION OVERVIEW:

The Sr. Data Analyst will use claims data to provide insight into business performance.  Responsibilities will include analyzing variances in loss results compared to plan, identifying and communicating potential areas for improvement within Claims or other functions, and building out reporting analytics to provide quicker and more comprehensive insights.  Analysis may span any segment or line of business across the company.

IN THIS ROLE, YOU WILL:

  • Analyze claims data and effectively communicate conclusions in writing and verbally to internal partners (claims, actuarial, finance, state management, underwriting, etc.)  Draw insights and observations from detailed and multifaceted claims data and reports.  Present findings to senior leaders.
  • Respond to urgent/timely requests and produce routine and ad hoc information in a rapid and dynamic turnaround climate.
  • Lead the development or enhancement of complex reports and tools for multiple lines of business.  Work independently and leverages resources when needed.
  • Quantify the impacts of internal operational changes and external trends on frequency, severity, and overall loss results.
  • Develop industry knowledge and internal data expertise to provide solutions to complex business questions.  Tuned into external industry trends and best practices.
  • Work in partnership with the team and management to generate innovative solutions by approaching problems with curiosity and open-mindedness, using existing information to its fullest potential.

WHAT YOU NEED TO APPLY:

  • Bachelor's degree or higher in a relevant technical field (math, finance, actuarial science, or analytics preferred).
  • 4-6+ years of related analytical and property & casualty industry experience preferred (e.g. actuarial, business analytics, or finance).
  • Demonstrated problem-solving skills and ability to perform exploratory data analysis.
  • Expert knowledge of Excel and intermediate knowledge of SQL; ability to efficiently work with large and complex data sets.
  • Comfortable turning raw data into meaningful information; ability to summarize complex business concepts into written and oral communications (including the use of PowerPoint).
  • Comprehends key industry financial/operational metrics.
  • Strong organization, project, and time management skills; ability to multi-task and meet all deadlines with quality product.  

KEY COMPETENCIES:

  • Thoroughness: Demonstrates careful attention to detail. Keeps tasks and responsibilities clearly defined, on schedule, and error-free. Carries tasks, assignments, etc., through to completion.
  • Information Seeking: Thoroughly investigates and researches multiple sources to expose details and complete information about resources, issues, problems, and so forth. Conducts in-depth research, asks probing questions, and transcends surface issues.
  • Conceptual Thinking: Synthesizes facts, trends, inferences, and key issues and/or themes in complex situations. Recognizes patterns and relationships between apparently unrelated entities or situations.
  • Communication: Ability to effectively communicate complex information effectively in written and oral form. Tells a story with data so that audience can see clear action.
  • Relationship Building: Understands the importance of developing and maintaining positive, collaborative relationships with others at all levels of the organization in order to accomplish organizational goals.
  • Results Oriented: Has a pro-active, inquisitive attitude. Excited by challenging goals and a desire to exceed standards of excellence. Exceeding the standard can include challenging personal goals, organization's standards, or current industry standards.

 PHYSICAL DEMANDS and WORK ENVIRONMENT:

  • Ability to use a personal computer and other standard office equipment
  • Ability to work in a fast paced or stressful environment
  • Ability to travel as necessary
  • Ability to sit and/or stand for extended periods

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.