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Remote Meta Data Science Jobs in Export, PA (NOW HIRING)

Epistemix

Data Scientist

Pittsburgh, PA · Remote

The Data Scientist supports data integration and modeling for a portfolio of customers, supporting adoption and high-impact use of the Epistemix software platform. This role contributes to profitable

Air

Forward Deployed Data Scientist

Pittsburgh, PA · On-site +1

Company Description Air is the leader in Enterprise Readiness. Our mission is to establish readiness as a real-time condition that is continuously achieved. Today, a dangerous Readiness Gap exists

Air

Forward Deployed Data Scientist

Pittsburgh, PA · On-site +1

Company Description Air is the leader in Enterprise Readiness. Our mission is to establish readiness as a real-time condition that is continuously achieved. Today, a dangerous Readiness Gap exists

Data Ideology

Data Analyst

Pittsburgh, PA · Remote

Data Ideology At DI, we provide Data & Analytics expertise to drive measurable business outcomes, often solving complex business problems for our clients. Our data analytics advisory services enable

Data Ideology LLC

Data Analyst

Pittsburgh, PA · On-site +1

Data Ideology At DI, we provide Data & Analytics expertise to drive measurable business outcomes, often solving complex business problems for our clients. Our data analytics advisory services enable

Epistemix

Synthetic Population Engineer

Pittsburgh, PA · Remote

The Synthetic Population Engineer uses cutting edge data science techniques to continuously improve the Epistemix synthetic population. A synthetic population is a statistically representative model

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All JobsMeta Data Science JobsRemote Meta Data Science JobsRemote Meta Data Science Jobs in Export, PA

Remote Meta Data Science information

See Export, PA salary details

$32.6K

$106.7K

$170.7K

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

As of Sep 11, 2026, the average yearly pay for remote meta data science in Export, PA is $106,652.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,600.00 and $118,200.00 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

Principal Clinical Data Science Lead

United, PA • Remote

535 ICR Colombia - COL
See more jobs at 535 ICR Colombia - COLexternal

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 7 days ago

Job description

Principal Clinical Data Science Lead - United States, Mexico, Colombia (Remote)

ICON is a global healthcare intelligence and clinical research organisation united by a mission to bring new medicines and treatments to patients faster.


As a values-driven organisation, integrity, collaboration, agility, and inclusion are at the heart of how we work and interact with each other, customers, patients and suppliers.


We have an incredible opportunity for a Principal Clinical Data Science Lead to join ICON’s Full-Service IOD Clinical Data Science team. The Principal Clinical Data Science Lead (Principal CDSL) leads and serves as the primary contact for end-to-end data review activities performed on clinical trials. They are accountable for achieving clinical data science deliverables on-time, with high-quality, and to agreed financial metrics. The Principal CDSL will serve as the primary point of contact for internal and external team members regarding clinical data review activities and lead these data review activities to ensure delivery of data fit for analysis. They will provide input into clinical system development activities and clinical risk management activities.

Locations: remote or hybrid

  • Mexico
  • Colombia
  • United States

What you will be doing:

  • Develops and oversees timeliness of clinical data science activities during the life cycle of studies as it relates to data review and data delivery milestones
  • Participates in Sponsor and/or third-party audits
  • Forecasts budget, hours, and resourcing for clinical data review activities
  • Performs analytic review as defined in the scope of work and functional plans focusing on errors that matter or have a meaningful impact on the safety of the subject or interpretation of the final analysis
  • Accountable for the development of planning documents related to data review, data analytics, and data deliverables
  • Establishes approach and leads resources to achieve operational and strategic plans
  • Travel (approximately 15%) domestic and/or international

Your profile:

  • 8+ years of clinical data management experience in a clinical research organization or pharmaceutical company
  • 2+ years of experience working in a clinical research organization (CRO)
  • Experience with all steps within the data science lifecycle and most major data science study tasks, with proficiency in at least one Clinical Data Management system required (e.g., Rave, Inform, Oracle Clinical, OCRDC, UX EDC)
  • Strong project management skills with experience leading multiple projects simultaneously
  • Excellent leadership and communication skills
  • Budget and timeline management experience
  • Data Analytic and Data Validation experience
  • Established Mentor and/or SME experience
  • Bachelor’s degree or local equivalent
  • Equivalent combination of education, training, and relevant experience may be considered in place of the education and experience stated above. All employees must read, write, and speak fluent English and host country language.

* Please submit all applications in English *

#LI-Remote

#LI-TP1


Employment with ICON is contingent upon having the legal right to work in the country where the role is based.


Rewards & Benefits

ICON offers a competitive and comprehensive total rewards package designed to support your health, wellbeing, and career development.


Benefits may include:

  • Competitive base salary and performance related incentives
  • Health and wellbeing programmes including medical, dental, and vision coverage where applicable
  • Retirement and pension plans
  • Life assurance and disability coverage
  • Employee assistance programmes and wellbeing resources
  • Learning and development opportunities through structured training and career pathways

Benefits may vary depending on role and location.


Visit our careers site to read more about the benefits ICON offers.


Inclusion and Accessibility

ICON is an equal opportunity employer. We are committed to building an inclusive and accessible workplace where everyone feels valued and supported.


If you require reasonable accommodations during the recruitment process, please let us know or submit a request here.

Are you a current ICON Employee? Please click here to apply