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

Meta is seeking a data center Critical Facility Engineer to join our Data Center Facility ... control room environment to operate remote equipment, monitor system alerts, centralize ...

Meta is seeking a data center Critical Facility Engineer to join our Data Center Facility ... Utilize computerized tooling, in a control room environment, to operate remote equipment, monitor ...

Meta is seeking a data center Critical Facility Engineer to join our Data Center Facility ... Utilize computerized tooling, in a control room environment, to operate remote equipment, monitor ...

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Remote Meta Data Science information

See Columbus, OH salary details

$36.2K

$118.6K

$189.8K

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

As of May 28, 2026, the average yearly pay for remote meta data science in Columbus, OH is $118,553.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,100.00 and $131,400.00 per year, depending on experience, location, and employer.

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.

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 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 Columbus, OH? For Remote Meta Data Science jobs in Columbus, OH, the most frequently searched job titles are:
Data Engineer/Data Science Summer Internship

Data Engineer/Data Science Summer Internship

Park National Bank

Newark, OH • Hybrid

$105.20K - $126.40K/yr

Other

This job post has expired today. Applications are no longer accepted.


Park National Bank rating

6.9

Company rating: 6.9 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

111th of 141 rated banks


Job description

Data Engineer/Data Science Summer Internship

Job Category: Information Services Requisition Number: DATAE006776

Posted: May 13, 2026

Full-Time

Hybrid

Newark, OH 43055, USA

Description

Flexible Work Arrangement: 1 day a week on-site in Newark, Ohio & 4 days remote. Must have transportation to our headquarters in Newark, Ohio to be considered for the role.

Responsibilities
  • Builds and maintains data semantic models to support analytics and business intelligence use cases.
  • Designs, develops, and manages data pipelines using DBT to ensure reliable data transformation and delivery.
  • Collaborates with data scientists, Data Engineers, and business stakeholders to translate business requirements into technical solutions.
  • Builds and maintains strong cross-functional relationships to support strategic data and technology initiatives.
  • Provides support for developing and optimizing scripts and data workflows integrated into banking applications.
  • Demonstrates proficiency in SQL/Python and experience with enterprise reporting tools such as Tableau or Power BI for data validation and insights.
  • Transforms and prepares raw data into structured formats suitable for analysis and building AI Agents.
  • Ability to pick up NLP based coding in Snowflake and DBT.

Education - Certifications - Work Experience

  • High School Diploma or equivalent required
  • 2yr associate degree in IT, Computer Programming, Computer Science or other related discipline required
  • Project or professional experience with basic programming relative to scripting language in reporting software, experience with SQL required.
  • Python language scripting skills required.

Schedule

Typical office hours are M-F 8a-5p. This position is non-exempt and full time (40 hours per week.)

This position must be able to remain in a stationary position a minimum of 75% of the time, constantly operate a computer, and be able to be in constant communication with coworkers and stakeholders to discuss and exchange accurate information.

Qualifications Required

High School or better.

Equal Opportunity Employer This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.


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