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Remote Meta Data Science Jobs in Millbury, 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 ...

ABB

Group Account Manager

RI · Remote

$163K - $261K/yr

As the Group Account Manager, Meta - Data Center Segment, you will have the opportunity to develop ... Remote {#LI-Remote} Your role and responsibilities: * Drives strategic account planning, sales ...

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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 Aug 16, 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 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.

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 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.

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 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

Data Scientist (Hybrid Worcester, MA or Remote)

thg

Worcester, MA • On-site, Remote

Full-time

Posted 5 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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