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

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

You'll conduct experiments, collect and analyze data, and maintain a clean, safe, and efficient ... High school diploma with coursework in chemistry required; bachelor's degree in a scientific or ...

AI Engineer

Pittsburgh, PA · On-site

$55K - $187K/yr

Within our Internal Firm Services practice, you will apply data, algorithms, and software ... Computer and Information Science, Computer Engineering, Computer Management, Management Information ...

This position requires working knowledge of laboratory protocols, data analysis, and instrument ... Mentor and provide guidance to entry-level (Analyst I or Technician) staff. * Participate in audits ...

New

This position requires working knowledge of laboratory protocols, data analysis, and instrument ... Mentor and provide guidance to entry-level (Analyst I or Technician) staff. * Participate in audits ...

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Entry Level Data Science information

See Pittsburgh, PA salary details

$10

$18

$26

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

As of Aug 1, 2026, the average hourly pay for entry level data science in Pittsburgh, PA is $18.50, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $20.77 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data science roles are open to candidates of all ages, including those starting a career at 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.

What are entry level data science jobs?

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.

How do I become a data scientist with no experience?

To become an entry-level data scientist 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, working on personal projects, and participating in competitions like Kaggle can demonstrate your abilities and help you gain practical experience. Earning relevant certifications and creating a strong portfolio can improve your chances of entering the field.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Entry level data scientists often focus on identifying the most impactful variables or tasks to optimize model performance and efficiency.

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.

Can I get a data scientist job with no experience?

Entry-level data science positions often require some knowledge of programming languages like Python or R, and familiarity with data analysis tools. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or coursework can improve your chances of securing an entry-level role.
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 July 2026, with employment types broken down into 100% Full Time. Highlights an 96% In-person, and 4% Hybrid job distribution, with an average salary of $38,473 per year, or $18.5 per hour.

Entry Level Civil Engineer

Swank Construction Company, LLC

New Stanton, PA • On-site

$50K - $70K/yr

Full-time

Re-posted 14 days ago


Job description

Hunt Valley Environmental, LLC (HVE) is a small environmental engineering firm located in Westmoreland County, PA. HVE has a diverse group of private, public and non-profit clients in Western Pennsylvania.

Overview: We are seeking an entry level Civil Engineer who will support the planning, design, and permitting of sustainable site development projects by assisting with site visits, data collection, technical documentation, and regulatory compliance under the guidance of senior staff. Core responsibilities include preparing engineering plans and reports, developing permit applications, and ensuring projects meet environmental and quality standards while contributing to innovative solutions that minimize environmental impact.

Key Responsibilities

  • Collaborate with project managers and senior engineers to plan, design, and oversee sustainable site development, grading, and construction projects that align with HVE's mission of environmental stewardship.
  • Conduct site visits, surveys, and inspections to collect and compile data on environmental resources, ensuring projects meet and exceed regulatory requirements and best practices.
  • Prepare clear, concise reports and technical documentation that support environmental permitting, compliance, and project execution.
  • Develop design plans, specifications, and cost estimates for infrastructure improvements, with a focus on sustainable and innovative solutions.
  • Review subdivision, land development, grading, and zoning plans, including the development and review of stormwater management and erosion and sediment control plans to minimize environmental impact.
  • Prepare and submit federal, state, and local permit applications, including NPDES and waterway permits, ensuring compliance with all environmental regulations.
  • Provide construction observation and field engineering services to verify adherence to environmental and quality standards.
  • Assist with grant and funding applications to support environmentally responsible initiatives.
  • Other duties as assigned by the Engineer Manager

Minimum Qualifications

  • Bachelor of Science in Civil or Environmental Engineering from an accredited institution, or equivalent.
  • Fundamentals of Engineering (EIT) registration or ability to obtain within one year.
  • 0-2 years' experience; consulting experience is a plus.
  • Strong written and verbal communication skills, with the ability to present to clients and prepare technical reports.
  • Demonstrated commitment to sustainability, quality, and continuous improvement in engineering practices.
  • Physically able to perform fieldwork and travel as required; valid driver's license.
  • Proficient in MicroStation or AutoCAD and Microsoft Office Suite; experience with Civil 3D, GIS, hydraulic/hydrologic modeling, or other engineering software is beneficial.
  • Team player with strong planning, organizational, and problem-solving skills.

At HVE, we believe in innovation and social responsibility. We believe in creating an environment where employees can thrive at home and at work. We believe in engaging our employees, building lasting relationships with our clients, and, in turn, making a difference in the communities where we live.

HVE is a drug free and Equal Opportunity Employer. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veterans' status or other characteristics protected by law.

Individuals with a disability who are in need of a reasonable accommodation to complete any aspect of our application process should reach out to Hunt Valley Environmental.