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Data Science Entry Level Remote Jobs in Pittsburgh, PA

Follow advancements in data science, machine learning, and healthcare analytics Qualifications ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

The Synthetic Population Engineer uses cutting edge data science techniques to continuously improve ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

Bachelor's degree (BA/BS) in engineering, construction management, sciences, IT, or related field a ... Remote -Boston, MA, Chicago, IL, Cleveland, OH, Dallas, TX, Indianapolis, IN, JERSEY CITY, NJ, Las ...

Strong grounding in the Science of Reading: phonics, structured literacy, fluency, vocabulary, and ... Are energized by data and motivated by seeing measurable student growth Application Process

... data science that change patients' lives for the better while enabling healthcare professionals to ... Remote Must be legally authorized to work in country of employment without sponsorship for ...

Communications Specialist

Pittsburgh, PA ยท Remote

$54K - $72K/yr

This entry-level role is ideal for a self-starter passionate about consumer insights, data, and ... Travel and educational opportunities This is a remote (work from home) role with preference for ...

Communications Specialist

Pittsburgh, PA ยท On-site +1

$51K - $68K/yr

This entry-level role is ideal for a self-starter passionate about consumer insights, data, and ... Travel and educational opportunities This is a remote (work from home) role with preference for ...

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Data Science Entry Level Remote information

What are some typical challenges entry-level data scientists face when working remotely, and how can they overcome them?

Entry-level data scientists working remotely often encounter challenges such as limited access to mentorship, difficulty in collaborating on complex projects, and adjusting to asynchronous communication. To overcome these, it's important to proactively seek guidance from senior team members through regular check-ins, participate actively in team meetings and online forums, and document your work thoroughly for transparency. Leveraging collaborative tools like shared code repositories and communication platforms can also help maintain strong connections with your team and ensure project alignment.

What are the key skills and qualifications needed to thrive as an entry-level remote Data Scientist, and why are they important?

To thrive as an entry-level remote Data Scientist, you need a solid background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree or certification. Familiarity with tools like Jupyter Notebook, SQL databases, and machine learning libraries such as scikit-learn or TensorFlow is commonly required. Strong problem-solving abilities, communication skills, and self-motivation are crucial soft skills for remote collaboration and project management. These competencies enable effective data-driven insights, seamless teamwork, and measurable contributions in a distributed work environment.

What is the difference between Data Science Entry Level Remote vs Data Analyst Entry Level Remote?

AspectData Science Entry Level RemoteData Analyst Entry Level Remote
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentRemote, collaborative teams, often with cross-functional departmentsRemote, often working independently or with business teams
Employer & Industry UsageTech companies, finance, healthcare, e-commerceBusiness, marketing, finance, healthcare

While both roles are entry-level remote positions involving data, Data Science Entry Level Remote focuses on programming, machine learning, and predictive modeling, whereas Data Analyst Entry Level Remote emphasizes data visualization, reporting, and interpreting data for business insights. Candidates should choose based on their skills and career interests.

What are data science entry level remote jobs?

Data science entry level remote jobs are positions suitable for individuals who are just starting their careers in data science and prefer or require the flexibility to work from home or any location outside the traditional office setting. These roles typically involve tasks such as data cleaning, basic statistical analysis, creating simple data visualizations, and assisting with machine learning projects under supervision. Entry level data scientists often work closely with more experienced team members and use tools like Python, R, SQL, and Excel. Remote roles require good communication skills and self-motivation, as collaboration happens online. These positions are a great way to gain practical experience and develop technical skills in the field of data science.
What job categories do people searching Data Science Entry Level Remote jobs in Pittsburgh, PA look for? The top searched job categories for Data Science Entry Level Remote jobs in Pittsburgh, PA are:
What cities near Pittsburgh, PA are hiring for Data Science Entry Level Remote jobs? Cities near Pittsburgh, PA with the most Data Science Entry Level Remote job openings:
Infographic showing various Data Science Entry Level Remote job openings in Pittsburgh, PA as of July 2026, with employment types broken down into 8% Internship, 67% Full Time, 16% Part Time, 4% Temporary, and 5% Contract. Highlights an 100% Remote job distribution.
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.