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Data Science Remote Internship Jobs in Worcester, MA

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 ...

CareDx, Inc.

Customer Master Data Manager

Waltham, MA · Remote

  • Medical

  • Retirement

  • PTO

... remote candidates will work and collaborate from home. Responsibilities * Customer Master Data ... Administration, Life Sciences, or a related field; equivalent experience may be considered.

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Data Science Remote Internship information

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How much do data science remote internship jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for data science remote internship in Worcester, MA is $22.46, according to ZipRecruiter salary data. Most workers in this role earn between $17.26 and $24.47 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data science remote intern?

To thrive as a Data Science Remote Intern, you need a solid understanding of statistics, data analysis, and programming languages like Python or R, often supported by coursework or projects in data science or related fields. Familiarity with tools such as Jupyter Notebook, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow) is typically expected. Strong problem-solving abilities, self-motivation, and effective communication are essential soft skills for collaborating remotely and conveying analytical insights. These competencies ensure you can independently contribute to projects, adapt to remote workflows, and deliver actionable data-driven solutions.

What is a data science remote internship?

A Data Science Remote Internship is a temporary, practical work experience opportunity in the field of data science that is completed remotely, usually from your own home or any location with internet access. Interns work on real-world projects involving data analysis, machine learning, and statistical modeling, often collaborating with teams through online communication tools. This type of internship is ideal for gaining hands-on experience, building a portfolio, and developing skills relevant to data science careers, all while offering flexibility and eliminating the need to relocate.

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

AspectData Science Remote InternshipData Analyst Remote Internship
Required CredentialsTypically pursuing or recent graduate in Data Science, Statistics, or related fieldsOften pursuing or recent graduate in Data Analysis, Business, or related fields
Work EnvironmentRemote, collaborative with data science teams, using programming languages like Python or RRemote, focusing on data interpretation, visualization, and reporting tools like Excel, SQL, Tableau
Employer & Industry UsageTech companies, finance, healthcare, startupsBusiness, marketing, finance, consulting firms

While both roles involve working with data remotely, Data Science Remote Internships focus on building predictive models and programming skills, whereas Data Analyst Remote Internships emphasize data interpretation, visualization, and reporting. The choice depends on your career goals and skill set.

What types of projects can I expect to work on during a remote data science internship, and how is project collaboration typically managed?

During a remote data science internship, you can expect to work on projects such as data cleaning, exploratory data analysis, model development, and visualization tasks that support ongoing business needs. Collaboration is commonly managed through virtual tools like Slack, Zoom, and project management platforms (e.g., Jira or Trello), with regular check-ins and code reviews from your mentor or team. Interns often participate in team meetings, contribute to group presentations, and use version control systems like Git to share code and receive feedback. This structure ensures you gain practical experience while staying connected with your team, even in a remote setting.
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Data Science Remote Internship jobs near you

Data Product Manager

Mondo

Marlborough, MA • Remote

$50 - $65/hr

Contractor

Medical, Dental, Vision, Retirement

Re-posted 6 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.