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Scientist Python Jobs in Pittsburgh, PA (NOW HIRING)

PPG

Data Scientist

Pittsburgh, PA · On-site +1

As a Data Scientist , and member of our PPG Digital Organization, you'll be contributing to ... Proficiency in Python * Experience with state-of-the-art deep learning frameworks such as ...

Epistemix

Data Scientist

Pittsburgh, PA · Remote

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 ...

Cmu

Associate Data Scientist

Pittsburgh, PA

$57K - $57K/yr

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and ... Proficient with at least one mathematical/statistical programming package (e.g., R, python numpy ...

Cmu

Senior Data Scientist

Pittsburgh, PA

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and ... Proficient with at least one mathematical/statistical programming package (e.g., R, python numpy ...

New

Air

Data Scientist

Pittsburgh, PA

Your role on the Data Science team will be primarily focused on our large datasets, and you will ... Regular development experience in Python * Prior hands-on experience working with data-driven ...

Air

Data Scientist

Pittsburgh, PA

Your role on the Data Science team will be primarily focused on our large datasets, and you will ... Regular development experience in Python * Prior hands-on experience working with data-driven ...

Waabi

Applied Scientist

Pittsburgh, PA · On-site +1

$128K - $184K/yr

We are looking for a hands-on Applied Data Scientist to help drive a unified view of our multi ... with Python for data manipulation and prototyping. - Experience building clear, automated ...

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All JobsScientist Python JobsScientist Python Jobs in Pittsburgh, PA

Scientist Python information

See Pittsburgh, PA salary details

$36.4K

$119.2K

$190.8K

How much do scientist python jobs pay per year?

As of Jul 19, 2026, the average yearly pay for scientist python 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.

How do Scientist Python roles typically collaborate with other team members during research and development projects?

Scientist Python professionals frequently work in multidisciplinary teams, collaborating closely with data scientists, domain experts, and software engineers. They are often responsible for developing and implementing Python-based models or algorithms, then integrating their work with broader research goals or product pipelines. Regular communication, code reviews, and shared documentation are common practices to ensure alignment and reproducibility. This collaborative environment offers opportunities to learn from peers and contribute to diverse projects, fostering both technical and professional growth.

What does a Scientist Python do?

A Scientist Python, often referred to as a Python Scientist or Data Scientist specializing in Python, uses the Python programming language to analyze data, build predictive models, and solve scientific or business problems. They work with large datasets, apply statistical and machine learning techniques, and create visualizations to interpret results. Their work often involves writing code to clean, manipulate, and analyze data efficiently. Python's extensive libraries, such as Pandas, NumPy, and SciPy, make it a popular choice for scientific computing and data science tasks.

What are the key skills and qualifications needed to thrive as a Scientist Python, and why are they important?

To thrive as a Scientist Python, you need strong programming skills in Python, a solid background in scientific methods or data analysis, and typically an advanced degree in a relevant field such as computer science, physics, or biology. Experience with data analysis libraries (e.g., NumPy, pandas, SciPy), machine learning frameworks (e.g., scikit-learn, TensorFlow), and version control systems is commonly required. Critical thinking, effective communication, and problem-solving abilities help distinguish top performers in this role. These skills enable efficient data-driven research, reproducible scientific workflows, and successful collaboration in multidisciplinary environments.

What is the difference between Scientist Python vs Data Analyst Python?

AspectScientist PythonData Analyst Python
Required CredentialsBachelor's or Master's in Science, Data Science, or related fields; Python proficiencyBachelor's in Statistics, Data Analysis, or related fields; Python skills
Work EnvironmentResearch labs, R&D departments, tech companiesBusiness intelligence teams, marketing, finance departments
Employer & Industry UsageResearch institutions, tech firms, healthcareCorporate, finance, retail, marketing
Common Search & ComparisonYesYes

Scientist Python and Data Analyst Python roles share similar skills like Python programming and data handling. However, Scientists typically focus on research, experimentation, and developing new models, often working in research-heavy environments. Data Analysts concentrate on interpreting existing data to inform business decisions, working mainly in corporate settings. Both roles require strong analytical skills and Python expertise, but their focus and work environments differ significantly.

What are popular job titles related to Scientist Python jobs in Pittsburgh, PA? For Scientist Python jobs in Pittsburgh, PA, the most frequently searched job titles are:
What job categories do people searching Scientist Python jobs in Pittsburgh, PA look for? The top searched job categories for Scientist Python jobs in Pittsburgh, PA are:
What cities near Pittsburgh, PA are hiring for Scientist Python jobs? Cities near Pittsburgh, PA with the most Scientist Python job openings:
Scientist Python jobs near you
Infographic showing various Scientist Python job openings in Pittsburgh, PA as of July 2026, with employment types broken down into 1% Internship, 86% Full Time, 9% Part Time, and 4% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $119,156 per year, or $57.3 per hour.
Materials Scientist/Applied Physicist

Materials Scientist/Applied Physicist

RJ Lee Group, Inc

Pittsburgh, PA • On-site

Full-time

Posted 18 days ago

Job description

Position Summary:
RJ Lee Group is a multidisciplinary scientific consulting, analytical laboratory, and technology solutions company providing advanced technical expertise to clients across a broad range of industries. We are seeking a Materials Scientist or Applied Physicist to join our Materials Characterization team and contribute to technically complex investigations involving material performance, manufacturing processes, product development, quality concerns, and failure analysis.
This position supports projects involving a diverse range of materials, including metals, polymers, ceramics, glass, minerals, concrete, composites, and electronic materials. Work may include materials characterization, root-cause investigations, manufacturing and process evaluations, product performance assessments, contamination studies, quality assurance/quality control (QA/QC), and litigation or regulatory support.
The successful candidate will apply scientific principles and analytical methodologies to investigate client challenges, generate defensible data, and support the development of technical conclusions and client deliverables. This role provides opportunities to work alongside subject matter experts across RJ Lee Group’s multidisciplinary technical teams while gaining exposure to a wide variety of industries and analytical capabilities.
The ideal candidate is a hands-on scientist with strong analytical thinking skills, intellectual curiosity, and the ability to solve unfamiliar problems through sound scientific reasoning. Success in this role requires initiative, adaptability, attention to detail, and the ability to thrive in a collaborative, client-focused environment.
Key Responsibilities:
  • Perform scientific investigations and laboratory analyses involving a wide range of materials and material systems.
  • Operate and interpret data from advanced analytical instrumentation and characterization techniques.
  • Collect, analyze, and document experimental data for technical review and incorporation into client reports and deliverables.
  • Support root-cause investigations involving product failures, manufacturing issues, contamination concerns, and material performance challenges.
  • Assist in method development, experimental design, and technical problem-solving initiatives.
  • Prepare technical summaries, written reports, and presentations for internal and external stakeholders.
  • Collaborate with multidisciplinary teams to support consulting engagements, research efforts, and client solutions.
  • Maintain laboratory documentation, quality standards, and compliance with safe laboratory practices.
  • Support project execution to meet technical, schedule, and client expectations.
Qualifications:
  • Bachelor’s degree in Materials Science, Applied Physics, Engineering, or a related scientific discipline.
  • 0–5 years of relevant experience in laboratory research, materials characterization, applied science, or technical investigations.
  • Strong written and verbal communication skills, including technical documentation.
  • Ability to work both independently and collaboratively in a team-oriented environment.
  • Strong analytical, organizational, and problem-solving abilities.
  • Ability to adapt to changing priorities in a dynamic, client-service environment.
  • U.S. citizenship required.
Preferred Qualifications:
  • Familiarity with laboratory instrumentation and analytical techniques such as:
  • Optical Microscopy
  • Scanning Electron Microscopy (SEM)
  • Fourier Transform Infrared Spectroscopy (FTIR)
  • Raman Spectroscopy
  • Gas Chromatography (GC)
  • Liquid Chromatography (LC)
  • Experience with scientific programming or data analysis tools such as Python, MATLAB, or similar platforms.
  • Exposure to failure analysis, process troubleshooting, manufacturing investigations, or applied materials research.

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