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Entry Level Data Science Jobs in Pittsburgh, PA (NOW HIRING)

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, data analysts/data scientists, and machine learning engineers. Who should apply?

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, data analysts/data scientists, and machine learning engineers. Who should apply?

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Environmental Scientist

Carnegie, PA · On-site

$71K - $94K/yr

This entry-level role provides hands-on experience with regulatory compliance, field data collection, and technical report preparation while working alongside senior scientists and project managers ...

Degree in Information Technology, Cybersecurity, Computer Science, or related field (or equivalent ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

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Entry Level Data Science information

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$9

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How much do entry level data science jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for entry level data science in Pittsburgh, PA is $17.80, according to ZipRecruiter salary data. Most workers in this role earn between $15.05 and $20.00 per hour, depending on experience, location, and employer.

What is an entry level data scientist?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

What types of projects or tasks can I expect to work on as an entry level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

What are the key skills and qualifications needed to thrive as an entry level data scientist, and why are they important?

To thrive as an Entry Level Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

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

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

Are there entry-level data science roles?

Yes, entry-level data science roles are available and typically require foundational skills in programming, statistics, and data analysis, often using tools like Python or R. These positions are suitable for recent graduates or those transitioning into data science and may involve internships or junior analyst roles to gain experience.

How to start a career in entry level data science with no experience?

To start a career in entry level data science with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, earning certifications, and working on personal projects or internships can demonstrate your abilities to employers and help you gain practical experience.

What are the most commonly searched types of Data Science jobs in Pittsburgh, PA?

The most popular types of Data Science jobs in Pittsburgh, PA are:

What are popular job titles related to Entry Level Data Science jobs in Pittsburgh, PA?

For Entry Level Data Science jobs in Pittsburgh, PA, the most frequently searched job titles are:

What cities near Pittsburgh, PA are hiring for Entry Level Data Science jobs?

Cities near Pittsburgh, PA with the most Entry Level Data Science job openings:

Infographic showing various Entry Level Data Science job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $37,031 per year, or $17.8 per hour.

Data Scientist, Entry Level

Naval Nuclear Laboratory

West Mifflin, PA • On-site

$70K - $108K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

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


Key responsibilities

  • Implement innovative, data driven solutions to improve development of I&C systems

  • Support the integration of AI/ML models into software applications and processes

  • Support preparation of justifications, specifications, and plans to support project execution, including procurement activities


Naval Nuclear Laboratory rating

9.1

Company rating: 9.1 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

4th of 49 rated military and defense


Job description

Working at the Naval Nuclear Laboratory we foster pride in belonging to an organization whose culture is made up of these core values: Trust, Empowerment, and Collaboration. Our company promotes a positive culture while ensuring the safety and reliability of our nation's naval nuclear reactors, and training the Sailors who operate those reactors in the U.S. Navy's submarines and aircraft carrier Fleets. Looking for a lifetime career? Apply today! Job Description The Digital Strategic Development unit is seeking a highly motivated Data Scientist to join the Digital Strategic Development team. This team is responsible for leading the development and deployment of innovative solutions for existing and future instrumentation and control (I&C) systems on US Navy aircraft carriers and submarines. Specific areas of interest include incorporating artificial intelligence and machine learning, model-based engineering, and automation into existing processes. The successful candidate will work with multi-disciplined teams to: • Implement innovative, data driven solutions to improve development of I&C systems • Support the integration of AI/ML models into software applications and processes • Consult on AI/ML use case best practices and future needs • Support preparation of justifications, specifications, and plans to support project execution, including procurement activities • Apply new analysis methods, technologies, and/or concepts • Develop process controls and procedures • Assume the coordination responsibilities for assigned technical projects Required Combination of Knowledge and Skill Bachelors degree from an accredited college or university in a related engineering or science field; or Masters degree from an accredited college or university in a related engineering or science field. Preferred Skills Preffered degrees of Data Science or Computer Engineering areas Programming experience in Python and/or C++ Working knowledge of on-premises solutions Experience with agentic LLM frameworks and MCP servers for integrating AI agents. Experience applying AI/ML capabilities to improve existing processes, weighing potential risks and mitigations Experience building or maintaining CI/CD pipelines Experience using large language models and other AI applications Working knowledge of DevSecOps principles Working knowledge of cybersecurity principles, with a preference to applying cybersecurity to AI/ML Strong verbal and written communication skills Strong attention to detail and organizational skills Experience with technical writing Compensation and Benefits Health, Dental, Vision & Voluntary Benefits Disability, Life & Accident Insurance 401(k) Savings program & Capital Accumulation Plan Personal & Medical Time Off Paid Parental Leave Flexible Work Schedules Tuition Assistance for Eligible Employees Student Debt Benefit Personal Time Off Sell Program Employee Assistance Program (EAP) Wellness Program Visit us online to view all NNL benefits! Pay Range $70,900.00 - $108,500.00 annually Salary information provided is a general guideline only. Annual salary is based upon candidate experience and qualifications, as well as market and business considerations. The Naval Nuclear Laboratory is operated for the U.S. Department of Energy (DOE) by Fluor Marine Propulsion, LLC (FMP), a wholly owned subsidiary of Fluor Corporation. Naval Nuclear Laboratory personnel are FMP employees who work at four DOE facilities: Bettis Atomic Power Laboratory, Knolls Atomic Power Laboratory, Kenneth A. Kesselring Site, and Naval Reactors Facility, and at the U.S. Department of Defense-owned Nuclear Power Training Unit-Charleston. FMP employees also have an established presence at numerous shipyards and vendor locations. For nearly 70 years, the Naval Nuclear Laboratory has developed advanced nuclear propulsion technology, provided technical support, and trained world-class nuclear operators to ensure the safe and reliable operation of our nation's submarine and aircraft carrier Fleets. The Naval Nuclear Laboratory is a national asset solely dedicated to the Naval Nuclear Propulsion Program. We rely on the dedication and innovation of our nearly 8000 engineers, scientists, technicians, and support personnel. All candidates must be U.S. citizens. Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter. FMP is a government contractor and maintains a drug free workplace and workforce. All candidates must be able to pass a drug test in compliance with FMP company policy and 10 CFR 707. Marijuana is a Federal Schedule I controlled substance and illegal under Federal Law. Therefore, FMP is required to test for marijuana. Fluor Marine Propulsion, LLC is an Equal Opportunity Employer, including disability/vets. All qualified applicants will receive consideration for employment without regard to race, color, age, sex, religion, national origin, disability, veteran status, genetic information, or any other criteria protected by federal, state, or local law.

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