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Python Data Scientist Jobs in Pennsylvania (NOW HIRING)

Associate Data Scientist

Pittsburgh, PA

$57.30K - $57.80K/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 ...

Data Scientists collaborate directly with the Business, Product, Data Engineering, and QA team ... Ability to write clean, expressive code in Python and/or other tools including PySpark, Scala etc.

The Data Scientists are responsible for supplying statistical rigor to the organization's analytics ... Advanced Python and SQL skills. * You have a proven ability with statistical methods and advanced ...

As a Senior Data Scientist for NA Analytics, you will perform quantitative data analysis to enable ... Python. o Significant programming experience in SQL. o Working knowledge/familiarity with Git ...

Scientific/Technology All Job Posting Locations: Palm Beach Gardens, Florida, United States of ... Perform data manipulation, automation, and reproducible analyses using R (including Shiny), Python ...

The Data Scientists are responsible for supplying statistical rigor to the organization's analytics ... Advanced proficiency in Python and SQL, with strong foundation in statistical methods and advanced ...

Data Scientist 3

Lititz, PA · On-site +1

$130K - $150K/yr

The Data Scientists are responsible for supplying statistical rigor to the organization's analytics ... Advanced Python and SQL skills. * You have a proven ability with statistical methods and advanced ...

Mentors and develops junior data scientists and analysts. * Identifies and diagnoses data ... Expertise in programming with Python, R, or SQL; hands-on experience with machine learning ...

Mentors and develops junior data scientists and analysts. * Identifies and diagnoses data ... Expertise in programming with Python, R, or SQL; hands-on experience with machine learning ...

Mentors and develops junior data scientists and analysts. * Identifies and diagnoses data ... Expertise in programming with Python, R, or SQL; hands-on experience with machine learning ...

The Data Scientists are responsible for supplying statistical rigor to the organization's analytics ... Advanced Python and SQL skills Education This role does not require a degree. We value relevant ...

Provide technical guidance to data scientists and analysts across the organization. * Mentor junior ... Strong programming skills in Python, R, or similar analytical languages. * Extensive experience ...

New

The Applied Data Scientist r ecommends and implements methodologies appropriate to large scale data ... Proficient in SAS/Python/R or other key programming languages. * Skilled in domain specific ...

The Applied Data Scientist recommends and implements methodologies appropriate to large scale data ... Proficient in SAS/Python/R or other key programming languages. * Skilled in domain specific ...

Provide technical guidance to data scientists and analysts across the organization. * Mentor junior ... Strong programming skills in Python, R, or similar analytical languages. * Extensive experience ...

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Python Data Scientist information

See Pennsylvania salary details

$37.6K

$123K

$197K

How much do python data scientist jobs pay per year?

As of May 28, 2026, the average yearly pay for python data scientist in Pennsylvania is $123,033.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,700.00 and $136,300.00 per year, depending on experience, location, and employer.

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

To thrive as a Python Data Scientist, you need strong analytical skills, a solid understanding of statistics, machine learning, and proficiency in Python programming, typically backed by a degree in computer science or a related field. Familiarity with tools and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and version control systems like Git is essential. Problem-solving, curiosity, and effective communication are standout soft skills for this role. These abilities are crucial for extracting actionable insights from data, building predictive models, and collaborating across multidisciplinary teams.

What are some common challenges faced by Python Data Scientists when working with large datasets?

Python Data Scientists often encounter challenges related to processing and analyzing large datasets, such as memory limitations and slow computation times. To address these, professionals typically use libraries like Pandas, Dask, or PySpark to optimize data handling and leverage parallel computing. Collaborating closely with data engineers and IT teams can also help in setting up efficient data pipelines and scalable infrastructure. Staying updated with best practices in data preprocessing and model optimization is crucial for managing these challenges effectively.

What is a Python Data Scientist?

A Python Data Scientist is a professional who uses Python programming language and its data analysis libraries to extract insights from large datasets. They apply statistical techniques, machine learning algorithms, and data visualization tools to solve business problems and make data-driven decisions. Python Data Scientists often work with tools like pandas, NumPy, scikit-learn, and Jupyter notebooks to manipulate data and build predictive models. Their role typically involves collecting, cleaning, analyzing, and interpreting complex data to help organizations make informed decisions.

Is data science dead in 10 years?

As a Python Data Scientist, the field of data science is expected to evolve rather than become obsolete in 10 years. Advances in automation, machine learning tools, and increased data availability will likely shift the focus toward more specialized skills, but data science roles will continue to be essential for interpreting data and developing insights. Staying current with programming languages like Python and tools such as TensorFlow or scikit-learn will remain important for job relevance.

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

AspectPython Data ScientistData Analyst
Required SkillsPython, machine learning, statistical analysis, data modelingExcel, SQL, basic statistics, data visualization
CertificationsData Science certifications, Python programming coursesData analysis or business intelligence certifications
Work EnvironmentData science teams, R&D, predictive modeling projectsBusiness units, reporting, data visualization tasks
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Python Data Scientists focus on building predictive models and advanced analytics using Python, while Data Analysts primarily interpret data through visualization and reporting. Both roles require strong analytical skills, but Python Data Scientists typically have more programming and machine learning expertise, making them suitable for complex data projects.

What are popular job titles related to Python Data Scientist jobs in Pennsylvania? For Python Data Scientist jobs in Pennsylvania, the most frequently searched job titles are:
What cities in Pennsylvania are hiring for Python Data Scientist jobs? Cities in Pennsylvania with the most Python Data Scientist job openings:

$55.10K - $55.60K/yr

Other

Posted 17 days ago


Carnegie Mellon University rating

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

49th of 528 rated colleges and universities


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 three (3) 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 one (1) year of experience; or PhD in data science, machine learning, computer science, statistics, or related highly-quantitative discipline.
  • 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

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