ZipRecruiter

Log In

1

Scientist Python Jobs in Mars, PA (NOW HIRING)

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 ...

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 ...

PPG

Senior Data Scientist

Pittsburgh, PA · On-site +1

We are seeking a Senior Data Scientist who is deeply technical, hands-on, and passionate about ... Python and modern ML frameworks * Proven experience building scalable, production-grade ML systems

next page

Showing results 1-20

All JobsScientist Python JobsScientist Python Jobs in Mars, PA

Scientist Python information

See Mars, PA salary details

$36.3K

$118.7K

$190.1K

How much do scientist python jobs pay per year?

As of Jul 20, 2026, the average yearly pay for scientist python in Mars, PA is $118,734.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,300.00 and $131,600.00 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 job categories do people searching Scientist Python jobs in Mars, PA look for? The top searched job categories for Scientist Python jobs in Mars, PA are:
What cities near Mars, PA are hiring for Scientist Python jobs? Cities near Mars, PA with the most Scientist Python job openings:
Scientist Python jobs near you
Senior Data Scientist

Senior Data Scientist

Cmu

Pittsburgh, PA

Full-time

Posted 2 days ago

New

Job description

What We Do:

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cybersecurity challenges. In this role, you will work with our customers to identify areas where advanced statistical techniques can help tackle problems, plan and develop prototype solutions, and build out final products. You'll get a chance to work with elite cybersecurity professionals and university faculty to build new technologies that will influence national cybersecurity strategy for decades to come. You will co-author research proposals, execute studies, and present findings to DoW sponsors and at academic conferences.
Our team works on a wide range of projects. Our current work includes research in generative AI and large language models, computer vision, multimodal AI, agentic AI, and assurance of AI systems. Additionally, we craft metrics and experimental designs for large-scale cybersecurity research programs, develop human-in-the-loop machine learning solutions, and build classifiers to identify security vulnerabilities. If you are a data science or statistics expert with an interest in cybersecurity, we want to hear from you!
Requirements:

  • BS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with ten (10) years of experience or equivalent combination of training or experience; or MS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with eight (8) years of experience; or PhD in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with five (5) years of experience.

  • Willingness to complete modest travel to various locations to support the SEI's overall mission.

  • You will be subject to a background check and must be able obtain and maintain a U.S. Department of War security clearance.

Knowledge, Skills and Abilities:

  • Experience in predictive modeling, data science, and/or AI & machine learning

  • Deep understanding of statistical modeling techniques and advanced data analytics

  • Proficient with at least one mathematical/statistical programming package (e.g., R, python numpy/scipy/pandas/polars, MATLAB, etc.)

  • Innovative and inquisitive with ability to imagine novel analytical solutions to problems Thrives in a multi-disciplinary environment

  • Strong communication skills

  • Expertise in one or more of the following:

  • Recommendation systems

  • Time-series forecasting (Prophet, NeuralProphet, Chronos, Lag-Llama, etc.)

  • NLP / LLMs (fine-tuning, RAG, evaluation, prompt engineering)

  • Causal inference / uplift modeling / synthetic controls

  • Modern ML frameworks: LightGBM/XGBoost, CatBoost, PyTorch,JAX, TensorFlow)

  • LLMs / agentic workflows (LangChain/LlamaIndex/Haystack)

  • Experience deploying models (FastAPI, Triton, KServe, SageMaker, Vertex AI, or similar)

  • Experience working with big data (Spark, Trino, Snowflake, BigQuery, Databricks)

Desired Experience:

  • Experience in cybersecurity and privacy is a plus is a plus

  • Experience in U.S. Government work and/or with FFRDCs, UARCs an National Labs is a plus

  • Demonstrated ability to learn new concepts and grow into new areas of work

Location

Arlington, VA, Pittsburgh, PA

Job Function

Software/Applications Development/Engineering

Position Type

Staff - Regular

Full time/Part time

Full time

Pay Basis

SalaryMore Information:

  • Please visit "Why Carnegie Mellon" to learn more about becoming part of an institution inspiring innovations that change the world.

  • Click here to view a listing of employee benefits

  • Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.

  • Statement of Assurance

CMU logo

About CMU

Sourced by ZipRecruiter

Industry

Offices of mental health practitioners

Company size

201 - 500 Employees

Headquarters location

Harrisburg, PA, US

View All CMU Jobs

Apply