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Data Scientist Bank Remote 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 ...

Provide technical guidance to data scientists and analysts across the organization. * Mentor junior ... Strong mentoring and technical leadership capabilities. #LI-TS1 #remote Sedgwick is an Equal ...

We are seeking an inquisitive Data Scientist to join our team, leveraging deep expertise in ... Remote. This role may require up to 50% travel. Scope of Responsibilities * Developing new AI ...

We are seeking an inquisitive Data Scientist to join our team, leveraging deep expertise in ... Remote. This role may require up to 50% travel. Scope of Responsibilities * Developing new AI ...

Bachelor's degree in Computer Science, a related field, or equivalent experience * 2+ years of ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Data Analyst

Pittsburgh, PA ยท On-site +1

Bachelor's degree in Computer Science, a related field, or equivalent experience * 2+ years of ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Enterprise Data Architect - Remote

Pittsburgh, PA ยท On-site +1

$62 - $79.50/hr

Remote - must be available to work EST hours Job Type: Full Time / Contract Work Authorization: No ... Degree in computer science, information systems, or computer engineering Certification: * TOGAF ...

Enterprise Data Architect - Remote

Pittsburgh, PA ยท Remote

$62 - $79.50/hr

Location: Remote - must be available to work EST hours Job Type: Full Time / Contract Work ... Degree in computer science, information systems, or computer engineering Certification: * TOGAF ...

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Data Scientist Bank Remote information

See Pittsburgh, PA salary details

$36.4K

$119.2K

$190.8K

How much do data scientist bank remote jobs pay per year?

As of May 28, 2026, the average yearly pay for data scientist bank remote 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 Data Scientist in a remote banking role, and why are they important?

To thrive as a Data Scientist in a remote banking role, you need a strong background in statistics, data analysis, and programming (often with a degree in computer science, mathematics, or a related field). Familiarity with tools such as Python, R, SQL, and machine learning platforms, as well as certifications like Certified Analytics Professional (CAP), is highly valued. Excellent problem-solving, communication, and self-motivation are crucial soft skills for collaborating across teams and explaining complex insights in a remote environment. These skills and qualities are essential for developing secure, data-driven solutions that support banking operations and drive business decisions from a distance.

How does a remote Data Scientist at a bank typically collaborate with cross-functional teams?

As a remote Data Scientist in a banking environment, you will regularly collaborate with cross-functional teams such as risk management, IT, product development, and regulatory compliance. Communication is often facilitated through digital collaboration tools and regular virtual meetings, where you'll discuss project requirements, share insights from your analyses, and align on data-driven strategies. Successful remote collaboration requires proactive communication, clear documentation, and strong teamwork skills to ensure that data solutions are effectively integrated into banking operations and support business objectives.

What does a Data Scientist do at a bank in a remote role?

A Data Scientist working remotely for a bank analyzes large sets of financial and customer data to identify trends, build predictive models, and support strategic decision-making. Their tasks often include developing algorithms to detect fraud, improve risk assessment, personalize banking products, and optimize operations. Remote data scientists use tools like Python, SQL, and machine learning frameworks to collaborate with cross-functional teams virtually, ensuring security and compliance with financial regulations.
What are popular job titles related to Data Scientist Bank Remote jobs in Pittsburgh, PA? For Data Scientist Bank Remote jobs in Pittsburgh, PA, the most frequently searched job titles are:
What job categories do people searching Data Scientist Bank Remote jobs in Pittsburgh, PA look for? The top searched job categories for Data Scientist Bank Remote jobs in Pittsburgh, PA are:
What cities near Pittsburgh, PA are hiring for Data Scientist Bank Remote jobs? Cities near Pittsburgh, PA with the most Data Scientist Bank Remote job openings:
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.