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Full Time Remote Data Scientist Jobs in Pittsburgh, PA

The Data Scientist supports data integration and modeling for a portfolio of customers, supporting ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

We are seeking an inquisitive Data Scientist to join our team, leveraging deep expertise in ... a full-time position located out of our office in Arlington, VA, Pittsburgh, PA, or Remote. This ...

Applied Scientist

Pittsburgh, PA ยท On-site +1

$128K - $184K/yr

We are looking for a hands-on Applied Data Scientist to help drive a unified view of our multi ... full-time employees only). - Unlimited Vacation. - Flexible hours and Work from Home support ...

Applied Scientist

Pittsburgh, PA ยท On-site +1

$128K - $184K/yr

We are looking for a hands-on Applied Data Scientist to help drive a unified view of our multi ... full-time employees only). - Unlimited Vacation. - Flexible hours and Work from Home support ...

Senior / Staff Applied Scientist

Pittsburgh, PA ยท On-site +1

$146K - $280K/yr

We are looking for a highly experienced Applied Data Scientist to play a leading role in shaping ... full-time employees only). - Unlimited Vacation. - Flexible hours and Work from Home support ...

Senior / Staff Applied Scientist

Pittsburgh, PA ยท On-site +1

$146K - $280K/yr

We are looking for a highly experienced Applied Data Scientist to play a leading role in shaping ... full-time employees only). - Unlimited Vacation. - Flexible hours and Work from Home support ...

... Full-Time, 6-Month Fixed-Term (Renewable) This is a full-time position with an initial 6-month ... Bachelor's degree in Computer Science, a related field, or equivalent experience * 2+ years of ...

Data Analyst

Pittsburgh, PA ยท On-site +1

... Full-Time, 6-Month Fixed-Term (Renewable) This is a full-time position with an initial 6-month ... Bachelor's degree in Computer Science, a related field, or equivalent experience * 2+ years of ...

Data Analytics Engineer

Mount Pleasant, PA ยท Remote

$111.20K - $133.50K/yr

Quality Management Job Schedule: Full time Remote: No The Opportunity At Hitachi Energy, we're ... As part of our High Voltage Products Business Unit, the Data Analytics Engineer position will play ...

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Full Time Remote Data Scientist information

See Pittsburgh, PA salary details

$36.4K

$119.2K

$190.8K

How much do full time remote data scientist jobs pay per year?

As of May 28, 2026, the average yearly pay for full time remote data scientist in Pittsburgh, PA is $119,156.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,600.00 and $132,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full Time Remote Data Scientist, and why are they important?

To thrive as a Full Time Remote Data Scientist, you need expertise in statistics, machine learning, and data analysis, usually supported by a degree in a quantitative field. Proficiency with programming languages like Python or R, data visualization tools, and platforms such as SQL, TensorFlow, or cloud services is typically required. Strong problem-solving, communication skills, and self-motivation are essential soft skills for remote collaboration and project delivery. These skills and qualities are crucial for extracting actionable insights from data and effectively contributing to distributed teams.

How do remote data scientists typically collaborate with team members and stakeholders across different locations?

Remote data scientists often work closely with cross-functional teams, including engineers, product managers, and business analysts, using digital collaboration tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular virtual meetings, code reviews, and shared documentation help ensure alignment and transparency, even across time zones. Clear communication, proactive status updates, and well-documented code are essential for successful teamwork in a remote setting. Additionally, many organizations foster connection through virtual stand-ups and team-building activities to maintain a strong, cooperative work culture.

What is a Full Time Remote Data Scientist?

A Full Time Remote Data Scientist is a professional who analyzes large and complex datasets to extract insights and build predictive models, while working remotely from a location outside of the traditional office. They use statistical techniques, machine learning, and programming skills to solve business problems and support decision-making. Working full time means they typically adhere to a standard workweek, collaborating virtually with team members and stakeholders. Remote data scientists often use online tools for communication, data access, and code sharing, allowing them to contribute effectively from anywhere with a reliable internet connection.

What is the difference between Full Time Remote Data Scientist vs Full Time Remote Data Analyst?

AspectFull Time Remote Data ScientistFull Time Remote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often certifications in machine learning or data analysisDegree in Statistics, Mathematics, or related field; certifications in data analysis tools
Work EnvironmentCollaborates with data engineers, scientists, and product teams; focuses on modeling and predictive analyticsWorks with business teams; focuses on data reporting, visualization, and descriptive analytics
Industry UsageUsed across tech, finance, healthcare, and e-commerce industriesCommon in retail, marketing, finance, and healthcare sectors

Full Time Remote Data Scientists typically handle complex modeling and predictive tasks, requiring advanced skills and certifications, while Data Analysts focus on interpreting data and creating reports. Both roles are remote-friendly and essential across various industries, but their core responsibilities differ significantly.

What are the most commonly searched types of Remote Data Scientist jobs in Pittsburgh, PA? The most popular types of Remote Data Scientist jobs in Pittsburgh, PA are:
What are popular job titles related to Full Time Remote Data Scientist jobs in Pittsburgh, PA? For Full Time Remote Data Scientist jobs in Pittsburgh, PA, the most frequently searched job titles are:
What job categories do people searching Full Time Remote Data Scientist jobs in Pittsburgh, PA look for? The top searched job categories for Full Time Remote Data Scientist jobs in Pittsburgh, PA are:
What cities near Pittsburgh, PA are hiring for Full Time Remote Data Scientist jobs? Cities near Pittsburgh, PA with the most Full Time Remote Data Scientist job openings:
Infographic showing various Full Time Remote Data Scientist job openings in Pittsburgh, PA as of May 2026, with employment types broken down into 1% Locum Tenens, 67% Full Time, 26% Part Time, 3% Temporary, and 3% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $119,156 per year, or $57.3 per hour.
Data Scientist

Data Scientist

Epistemix

Pittsburgh, PA โ€ข Remote

Full-time

Medical, Retirement

Posted 21 days ago


Job description

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 growth by driving customer satisfaction, accelerating time to insights, and accelerating our time to value for customers. Ultimately, your work supports customer satisfaction, customer retention, and revenue growth from existing customers.

About Epistemix

The most consequential decisions in public health, life sciences, insurance, and enterprise strategy share a common problem: they involve human behavior, network effects, and downstream effects that cannot be safely tested before action is taken. Traditional analytical techniques built on historical data were not built for this. Epistemix was.

We build simulation and data-driven modeling tools that let leaders visualize how strategies will unfold across populations and systems before they commit resources. By clarifying which variables drive outcomes, where leverage exists, and how they interact, we help organizations move from uncertainty to conviction. Getting these decisions right means faster interventions, better-allocated resources, and measurable improvements in human and economic outcomes. We exist to make that possible.

Our platform gives organizations access to realistic, high-resolution population data and the modeling infrastructure to run scenario planning at scale. Together, these capabilities let decision-makers stress-test strategies in a controlled environment before deploying them in the real world across healthcare, consumer industries, insurance, and government. We are approaching our Series B and actively building the team that will define what comes next.

Responsibilities

Support customersโ€™ and colleaguesโ€™ efforts to use our platform to deliver data integration, visualizations, models and recommendations that create meaningful impact

  • Work with customer teams to understand their goals and help develop data integration, modeling, and visualization plans to support decision making

  • Collaborate with customer and internal teams to develop, test, and validate simulation models, ensuring their accuracy and relevance for healthcare use cases

  • Provide guidance for proposals on feasibility of scope and how to ensure impact

  • Contribute to customer onboarding experiences and content, helping to ensure customers quickly achieve their first successes with the platform

  • Engage with customer users to provide informal support, tips, and troubleshooting

  • Collaborate with premium support customers by integrating data and creating models, simulations, or visualizations. Support recommendation development and action plans

  • Participate in reviews with customers to document and improve measurable impact

  • Provide feedback to Product and Sales teams to align offerings with customer needs

  • Follow advancements in data science, machine learning, and healthcare analytics

Qualifications
  • Commitment to understanding customer needs and helping them achieve goals

  • Creative mindset with a passion for tackling challenging problems with data

  • Ability to collaborate with diverse users and internal teams

  • Strong communication skills: verbal, code, visualizations, and maps

  • Strong foundation in machine learning, data modeling, and predictive analytics

  • Understanding of key concepts of the healthcare industry required. Prior healthcare experience (broadly defined) very strongly preferred

  • Comfort working in a dynamic environment with evolving priorities and customer needs

  • Proficiency in Python and associated data science technologies

  • Experience with data visualization tools such as Tableau, Power BI, and/or GIS tools

  • Expertise in SQL or NoSQL databases preferred

  • 2-3 years prior experience as a Data Scientist, Analyst, or similar role, with demonstrated ability to solve complex data challenges. (Work in PhD program can count toward experience)

  • Masters or Ph.D in Data Science, Computer Science, Epidemiology, Economics, Public Health, Statistics, Mathematics, or similar quantitative field

  • Experience with more than one company size or business stage preferred

  • Must be legally authorized to work in the United States and not require employer sponsorship now or in the future.

Why Join Epistemix?

By joining Epistemix, you will become part of a collaborative and rapidly growing team that values curiosity and creativity. We are fully remote, with team members in the United States and Europe. Benefits include:

  • Equity & Incentives โ€“ Participation in our stock option program.

  • Flexible Time Off โ€“ Autonomy to manage your schedule and work-life balance.

  • Health, Welfare and 401(k) Programs โ€“ Eligibility for benefits (for U.S. employees).

  • Meaningful Impact โ€“ Apply your creative talents to revolutionize data-driven decision-making and make a real-world difference.

This is a remote position open to applicants located in the United States. Candidates must possess the legal right to work in their intended work location, as we are currently unable to sponsor or transfer employment visas for any country, including the United States.