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Remote Meta Data Science Jobs in Millbury, MA (NOW HIRING)

CareDx, Inc.

Customer Master Data Manager

Waltham, MA · Remote

... 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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All JobsMeta Data Science JobsRemote Meta Data Science JobsRemote Meta Data Science Jobs in Millbury, MA

Remote Meta Data Science information

See Millbury, MA salary details

$35.8K

$117.1K

$187.5K

How much do remote meta data science jobs pay per year?

As of Sep 8, 2026, the average yearly pay for remote meta data science in Millbury, MA is $117,135.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $129,800.00 per year, depending on experience, location, and employer.

What is a remote meta data scientist?

A Remote Meta Data Scientist is a professional who works for Meta (formerly Facebook) in the field of data science, but does so from a remote location instead of a traditional office. They analyze large datasets, build predictive models, and provide insights to help Meta improve its products and user experience. Their work may involve machine learning, statistical analysis, and collaborating virtually with cross-functional teams. Remote Meta Data Scientists use tools such as Python, SQL, and data visualization software to solve complex business problems.

How does a remote meta data science role typically collaborate with cross-functional teams despite being off-site?

In a remote Meta Data Science position, collaboration with cross-functional teams—such as product managers, engineers, and designers—is primarily facilitated through virtual communication tools like video conferencing, chat platforms, and collaborative project management software. Regular stand-ups, sprint meetings, and asynchronous updates help ensure alignment on project goals and timelines. While remote work offers flexibility, it also requires proactive communication and documentation to maintain transparency and foster effective teamwork. Building relationships remotely may take extra effort, but companies like Meta provide structured onboarding and virtual community events to support team cohesion.

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

To thrive as a Remote Meta Data Scientist, you need strong analytical skills, expertise in statistics and machine learning, and a degree in a quantitative field such as computer science or mathematics. Proficiency with data science tools like Python, R, SQL, and platforms such as TensorFlow or PyTorch is typically required, along with experience using collaboration tools for remote work. Excellent communication, self-motivation, and problem-solving abilities are essential soft skills for remote collaboration and translating insights to stakeholders. These skills ensure you can independently deliver impactful data-driven solutions while effectively collaborating across distributed teams.

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

AspectRemote Meta Data ScienceRemote Data Analyst
Required CredentialsBachelor's or higher in Data Science, Computer Science, or related fields; knowledge of programming languages like Python or RBachelor's degree in Statistics, Mathematics, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative remote teams, often with data science and engineering departmentsRemote work with focus on data reporting, visualization, and business insights
Employer & Industry UsageTech companies, e-commerce, finance, and healthcareMarketing agencies, retail, finance, and consulting firms

Remote Meta Data Science involves advanced data modeling, machine learning, and statistical analysis, often requiring programming skills and a strong technical background. Remote Data Analysts focus on interpreting data, creating reports, and visualizations to support business decisions. While both roles work remotely and require data handling skills, Meta Data Scientists typically engage in more complex modeling, whereas Data Analysts concentrate on data interpretation and presentation.

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

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

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

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

Remote Meta Data Science jobs near you

Strategic Student Program: AI & Engineering Data Internship (Spring 2027, GSCS)

Siemens

Babson Park, MA • Remote

$18 - $50/hr

Full-time, Internship

Retirement

Posted 5 days ago

Siemens rating

7.7

Company rating: 7.7 out of 10

Based on 100 frontline employees who took The Breakroom Quiz

271st of 454 rated engineering

Job description

Siemens Digital Industries Software

Strategic Student Program (SSP)

Discover your career with us at Siemens Digital Industries Software!

We are a leading global software company dedicated to the world of computer aided design, 3D modeling and simulation- helping innovative global manufacturers design better products, faster! With the resources of a large company, and the energy of a software start-up, we have fun together while creating a world class software portfolio. Our culture encourages creativity, welcomes fresh thinking and focuses on growth, so our people, our business, and our customers can achieve their full potential.

We're currently recruiting co-ops and interns for our Spring 2027 Strategic Student Program. Our opportunities will allow you to find a career path that most inspires you. Here, you will apply your education to solve real-world problems and turn theory into practice. At Siemens, our goal is to empower our students to become the next leaders of our company.

Baseline Program Requirements:

  • Currently enrolled as an undergraduate student at an accredited university
  • Legally authorized to work in the United States without the need for current or future sponsorship by the company
  • A minimum 3.0 GPA

Perks:

  • Employee discounts at our top customer sites
  • Networking with our global leaders
  • Mentorship from senior employees
  • Individual career development planning
  • Professional and technical workshops
  • Paid volunteer time off
  • Energetic student community
  • Leadership opportunities
  • Potential for full-time offers after university graduation and completion of the program

Position Overview:

Siemens Digital Industries Software is seeking an AI & Engineering Data Intern to support emerging Artificial Intelligence and Digital Thread initiatives within the Capital PreSales organization. This role provides hands-on experience applying AI technologies to engineering challenges across aerospace, defense, and automotive industries.

The intern will help create and manage engineering datasets, investigate AI-assisted workflows, and support projects that demonstrate how Digital Threads enable intelligent decision-making throughout the product lifecycle. The role combines engineering, software, data management, and AI technologies to develop innovative customer-facing demonstrations and internal capabilities.

Key Responsibilities:

  • Develop and curate engineering datasets for AI, analytics, and demonstration use cases.
  • Support AI and generative AI proof-of-concepts involving engineering and Digital Thread data.
  • Assist in connecting systems, software, and electrical engineering information into reusable data models.
  • Evaluate and document AI-assisted engineering workflows and use cases.
  • Build dashboards, reports, and visualizations that communicate engineering insights.
  • Support technical enablement activities and customer demonstration development.

Requirements:

  • Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial
  • Comfortable working in a fully remote environment within the United States of America.
  • Intelligence, Software Engineering, Systems Engineering, or a related discipline.
  • Experience with Python, data analytics, machine learning, or AI technologies.
  • Familiarity with digital engineering, PLM, or engineering data management concepts is a plus.
  • Strong communication, collaboration, and problem-solving skills.
  • Passion for applying emerging technologies to real-world engineering challenges.

#LI-PLM

#LI-Remote

#SWSaaS

You'll Benefit From

The hourly pay range for this position $18 - $50 per hour, based off of your projected graduation year. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location. Additionally, interns for Siemens are eligible to contribute into our 401K program.

Equal Employment Opportunity Statement

Siemens is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.

EEO is the Law

Applicants and employees are protected from discrimination on the basis of race, color, religion, sex, national origin, or any characteristic protected by Federal or other applicable law.

Reasonable Accommodations

If you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form by clicking on this link Accommodation for disability form. If you're unable to complete the form, you can reach out to our AskHR team for support at 1-866-743-6367. Please note our AskHR representatives do not have visibility of application or interview status.

Pay Transparency

Siemens follows Pay Transparency laws.

Application Deadline

This role will be posted for a minimum of five (5) days from the original posting date. The posting timeline may change based on applicant volume to ensure we attract and consider a strong and representative candidate pool.

California Privacy Notice

California residents have the right to receive additional notices about their personal information. To learn more, click here.

Criminal History

Qualified applications with arrest or conviction records will be considered for employment in accordance with applicable local and state laws.

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