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Remote Meta Data Science Jobs in Berea, OH (NOW HIRING)

Federal Reserve Bank of Richmond

Data Architect

Cleveland, OH · On-site +1

$61.75 - $79.50/hr

CompanyFederal Reserve Bank of St. Louis The Data Architect will lead the design and modernization of the data architecture that powers the economic data platforms of St. Louis based Research

Further

Senior AI Engineer

Cleveland, OH · On-site +1

$101K - $139K/yr

WE'RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further. Further is a data, cloud, and AI company whose focus is helping

FirstEnergy

Supervisor Data Engineering

Akron, OH · Remote

About the Opportunity We are a forward-thinking electric utility powered by a diverse team of employees committed to making customers' lives brighter, the environment better and our communities

Danaher

Principal Clinical Scientist

Cleveland, OH · On-site +1

At Danaher Diagnostics, we are passionate about improving health care through fast, accurate diagnostic testing. Our mission drives us, every moment of every day, as we develop scalable,

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All JobsMeta Data Science JobsRemote Meta Data Science JobsRemote Meta Data Science Jobs in Berea, OH

Remote Meta Data Science information

See Berea, OH salary details

$35K

$114.4K

$183.2K

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

As of Sep 12, 2026, the average yearly pay for remote meta data science in Berea, OH is $114,444.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $126,800.00 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.

Remote Meta Data Science jobs near you
Infographic showing various Remote Meta Data Science job openings in Berea, OH as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 79% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $114,444 per year, or $55 per hour.

Data Science Analyst

Middleburg Heights, OH • On-site, Remote

Quadax, Inc.
Health Care and Social Assistance • 501 - 1,000 employees
Learn more about Quadax, Inc.external

Full-time

Posted 15 days ago

Key responsibilities

  • Analyze complex data sets and create actionable insights.

  • Prepare and analyze data through locating, profiling, cleansing, extracting, transforming, validating, or modeling.

  • Design and develop AI/ML solutions using Azure AI services, including building and deploying machine learning models.

Quadax rating

7.5

Company rating: 7.5 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

Job description

 

Summary:

Quadax, an award-winning leader in healthcare revenue cycle technology, is seeking a Data Science Analyst to join our Team and help us create the best Revenue Cycle Optimization solution in the industry. You’ll use your knowledge of healthcare revenue cycle business objectives to identify necessary data (SQL, Excel, Snowflake), apply appropriate analytics (BI tools, Azure Foundry) and derive strategic insights to achieve the desired business benefits. You’ll work closely with product managers, other data scientists, engineers, and business analysts to ensure clear definition of all requirements and translating them into value. You’ll leverage data insights to optimize the revenue cycle product design and user experience of our Platform. We use PowerBI for visualization, Snowflake for data management & sharing, and Azure Foundry for all modeling. Local candidates preferred. Open to remote employees ONLY in: OH (if residence is outside a reasonably commutable distance), PA, MI, IN, KY, WV, WI, AL TN, GA, FL, TX, MO, SD, NC.

Responsibilities:

  • Ability to analyze complex data sets and create actionable insights
  • Uses knowledge of business objectives, strategies, and needs to identify opportunities where data can be leveraged to achieve the desired business benefits
  • Understands current data context, processes and availability, and how current data processes and existing data can be leveraged to achieve the desired benefits
  • Prepares and analyzes data. This can include - locating, profiling, cleansing, extracting, mapping, importing, transforming, validating, or modeling
  • Applies query, data exploration and transformation, basic statistical methods, and visualization techniques to create business insights or improve data quality
  • Performs validation and testing to confirm the accuracy of the information created
  • Design and develop AI/ML solutions using Azure AI services.
  • Build and optimize document intelligence solutions using OCR, LLMs, and hybrid approaches.
  • Support the creation and maintenance of project documentation
  • Develop, train, and deploy machine learning models for production workloads.

Qualifications:

  • Healthcare revenue cycle experience with hospitals, providers, and/or other healthcare delivery organizations
  • 2+ years of experience working as an IT Data Analyst or in Data Science
  • Strong Python programming skills and experience with common ML frameworks (scikit-learn, XGBoost)
  • Experience with agile development and software development life cycle (SDLC) processes
  • Proficiency with SQL programming
  • Experience with Microsoft Azure, including Azure AI/AI Foundry and related AI services
  • Strong business acumen and data analysis skills and the ability to identify customer needs, analyze them against available solutions, and identify gaps
  • Interprets and presents data analysis results including explanation of statistical and financial techniques used, assumptions made and summary of results
  • Excellent written and verbal communication skills

What Quadax employees say

Pay

Benefits

Hours and flexibility

Workplace

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