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

Mondo

Data Product Manager

Marlborough, MA · Remote

$50 - $65/hr

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

... 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

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 ...

Resource Innovations

Energy Engineer

Needham, MA · On-site +1

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 Jul 25, 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.

Can I work remotely in data science?

Yes, data science is a field that often offers remote work opportunities. Many companies hire data scientists to work remotely, requiring skills in programming, data analysis, and tools like Python or R. Remote data science roles typically involve collaboration through online platforms and may require strong communication skills.

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.

Can a data scientist work fully remote?

Yes, many data scientists work fully remote, especially in companies that prioritize flexible work arrangements. Remote data science roles often require strong communication skills, proficiency with collaboration tools, and the ability to work independently on projects using programming languages like Python or R. However, some positions may require occasional in-person meetings or on-site presence depending on company policies.

Is 40 too late for data science?

Remote data science roles are open to candidates of various ages, and starting a career at 40 is possible with relevant skills in programming, statistics, and machine learning. Many professionals transition into data science later in life by gaining certifications and building portfolios, making age less of a barrier in this field.

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 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.

How can I make $100,000 a year working from home?

Remote data scientists can earn $100,000 or more annually by gaining advanced skills in machine learning, programming languages like Python or R, and data visualization tools. Building a strong portfolio, obtaining relevant certifications, and gaining experience in high-demand industries can help achieve this income level while working remotely.
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 July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $106,988 per year, or $51.4 per hour.
Data Product Manager

Data Product Manager

Mondo

Marlborough, MA • Remote

$50 - $65/hr

Contractor

Medical, Dental, Vision, Retirement

Posted 18 days ago

Job description

Apply now: Merchandise Data Product Manager, location is Remote. The start date is ASAP for this 6-month contract position.

Job Title: Merchandise Data Product ManagerLocation-Type: Remote (Preference for candidates local to Marlborough, MA)Start Date Is: ASAPDuration: 6-month contract (with possibility of extensions/conversion)Compensation Range: $50-$65/hour W2Benefits: Eligible for Health, Dental, Vision, 401KMust be authorized to work in the U.S. This position is not eligible for sponsorship.

Job Description:We're seeking an experienced Merchandise Data Product Manager to drive the strategy and roadmap for merchandising data products that support pricing, promotions, inventory optimization, and product performance. 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 product strategy and roadmap for merchandising data products.
  • Translate business requirements into data, metrics, and reporting requirements.
  • Prioritize and maintain a healthy Agile product backlog.
  • Partner with data engineering and data science teams to deliver scalable data solutions.
  • Collaborate with merchandising and operations stakeholders to identify opportunities for business value.
  • Define success metrics and ensure delivered solutions meet business expectations.
  • Drive sprint planning, backlog refinement, and stakeholder communication.
  • Support initiatives focused on pricing, promotions, assortment, inventory, and in-stock optimization.

Requirements:

Minimum Requirements:

  • 5 years of Product Management experience supporting data products.
  • Strong expertise in retail merchandising and merchandising operations.
  • Experience translating complex business requirements into data requirements, metrics, and actionable insights.
  • Experience partnering with data engineering teams to deliver data products.
  • Strong stakeholder management and communication skills.
  • Experience working in Agile/Scrum environments, including backlog management, sprint planning, and prioritization.
  • Ability to balance strategic thinking with hands-on execution.
  • Proven ability to prioritize initiatives that maximize business value.

Preferred Qualifications:

  • Experience with Databricks.
  • Experience using Jira.
  • Exposure to GenAI initiatives or AI-enabled data platforms.
  • Experience partnering with data science teams.
  • Experience improving inventory, pricing, promotional, or merchandising analytics.