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

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 ...

Labratory Technician I

Pittsburgh, PA ยท On-site

$35K - $40K/yr

Laboratory Technician I is an entry-level role responsible for performing routine laboratory tasks ... This position supports the laboratory team in delivering timely and accurate data by following ...

Required : โ€ข Bachelor's degree in Information Technology, Computer Science, Engineering, or a ... data center networking, or software-defined networking environments. โ€ข Working knowledge of ...

We offer a wide range of career opportunities ranging from entry-level to management in retail ... The Database Coordinator supports data collection, maintenance, and management of Human Service ...

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Entry Level Data Science information

See Carnegie, PA salary details

$10

$18

$25

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

As of Aug 19, 2026, the average hourly pay for entry level data science in Carnegie, PA is $18.27, according to ZipRecruiter salary data. Most workers in this role earn between $15.43 and $20.53 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 popular job titles related to Entry Level Data Science jobs in Carnegie, PA?

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

What job categories do people searching Entry Level Data Science jobs in Carnegie, PA look for?

The top searched job categories for Entry Level Data Science jobs in Carnegie, PA are:

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

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

Infographic showing various Entry Level Data Science job openings in Carnegie, PA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $38,000 per year, or $18.3 per hour.

Lab Analyst II

RJ Lee Group

Monroeville, PA โ€ข On-site

Full-time

Posted 20 days ago


Job description

Position Summary:
Analyst II is a mid-level laboratory technician who performs technical testing and analytical procedures with moderate supervision for the Inorganic Chemistry Department. This position requires working knowledge of laboratory protocols, data analysis, and instrument operation. The Analyst II contributes to complex testing projects, ensures compliance with quality standards, and may assist in mentoring junior analysts or technicians.
Key Responsibilities:
  • Conduct intermediate-level sample preparation and analysis using standard methods (e.g., USP, FCC, EPA, ASTM, NIOSH methods).
  • Operate, calibrate, and maintain laboratory instrumentation with minimal supervision. (e.g., balance, auto titrator, LECO TGA, CVAA)
  • Analyze and interpret data; report findings with attention to accuracy and compliance.
  • Identify deviations from expected results or instrumentation issues and escalate appropriately.
  • Assist in troubleshooting routine equipment malfunctions or analytical anomalies.
  • Maintain accurate and complete documentation per SOPs and QA/QC requirements.
  • Adhere to all laboratory safety procedures and contribute to safe lab practices.
  • Mentor and provide guidance to entry-level (Analyst I or Technician) staff.
  • Participate in audits, quality reviews, and internal improvement initiatives.
  • Makes routine technical decisions within standard procedures.
  • Refers complex or non-conforming issues to supervisor or senior staff.
  • Applies judgment to troubleshoot analytical issues and ensure accurate results.
  • May assist in refining procedures or improving efficiency within the lab.

Qualifications:
  • Associate's or Bachelor's degree in Chemistry, Biology, Environmental Science, Materials Science, or related technical field.
  • 2-4 years of laboratory experience in a technical or analytical environment.
  • Prior experience operating laboratory instruments and interpreting basic data sets.
  • Strong understanding of laboratory procedures and safety practices.
  • Ability to follow SOPs and regulatory methods (e.g., NIOSH, ASTM, EPA).
  • Competent in troubleshooting routine issues and performing basic maintenance.
  • Effective written and verbal communication skills.
  • Attention to detail and ability to work on multiple priorities.
  • Proficiency with Microsoft Office tools; experience with LIMS preferred.