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Python Data Scientist Jobs in Pennsylvania (NOW HIRING)

System One

Research Data Scientist

Pittsburgh, PA · On-site

Research Data Scientist Location: Onsite, Pittsburgh, PA 15213 Type: Direct-Hire/Permanent Hours ... Proficiency in programming languages such as Python or R * Experience working with large, complex ...

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 ...

Green Cabbage

Data Scientist I

Warrendale, PA · On-site

We are currently designing, building, and optimizing our core data science offerings and looking ... At least 1 year experience in Python, R or other relevant language. You demonstrate experience in:

First Quality Retail Services

Data Scientist

Home, PA · On-site

Demonstrable experience with common data science toolkits, such as Python, PySpark, R, Weka, NumPy, Pandas, scikit-learn, SpaCy/Gensim/NLTK etc. * Knowledge of data warehousing concepts like ETL, ...

Green Cabbage

Data Scientist I

Warrendale, PA · On-site

We are currently designing, building, and optimizing our core data science offerings and looking ... At least 1 year experience in Python, R or other relevant language. You demonstrate experience in:

Green Cabbage

Data Scientist I

Warrendale, PA

We are currently designing, building, and optimizing our core data science offerings and looking ... At least 1 year experience in Python, R or other relevant language. You demonstrate experience in:

RELX

Data Scientist III

Philadelphia, PA · On-site +1

$110K - $115K/yr

... Python or R; and with utilization of database, data manipulation, and visualization tools, such as MySQL, Excel, and Tableau. * Employee reports to Elsevier, Inc. office in Philadelphia, PA but may ...

Arcfield

Sr. Data Scientist

Home, PA · On-site

... Python, R, and associated data science libraries (e.g., Pandas, NumPy, SciPy, TensorFlow, PyTorch) as well as SQL/NoSQL tools and workflows. • Experience with designing and maintaining data ...

Remitly

Data Scientist III

Philadelphia, PA · On-site +1

$110K - $115K/yr

... Python or R; and with utilization of database, data manipulation, and visualization tools, such as MySQL, Excel, and Tableau. * Employee reports to Elsevier, Inc. office in Philadelphia, PA but may ...

RELX Group plc

Data Scientist III

Philadelphia, PA · On-site

$110K - $115K/yr

... Python or R; and with utilization of database, data manipulation, and visualization tools, such as MySQL, Excel, and Tableau. * Employee reports to Elsevier, Inc. office in Philadelphia, PA but may ...

Vangard, Inc.

Data Scientist, Specialist

Malvern, PA · On-site

Mentors and develops junior data scientists and analysts. 3. Identifies and diagnoses data ... Expertise in programming with Python, R, or SQL; hands-on experience with machine learning ...

Cubesmart

Senior Data Scientist

Malvern, PA · Hybrid

The Senior Data Scientist will collaborate closely with cross-functional teams, providing ... Proficiency in programming languages such as Python and SQL, and big data technologies like ...

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All JobsPython Data Scientist JobsPython Data Scientist Jobs in Pennsylvania

Python Data Scientist information

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$37.6K

$123K

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How much do python data scientist jobs pay per year?

As of Jun 24, 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 does a data scientist do with Python?

A data scientist uses Python to analyze data, build models, and create visualizations. They often utilize libraries like pandas, scikit-learn, and TensorFlow to extract insights and develop predictive algorithms, making Python a key tool in their workflow.

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 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.

How much do Python data scientists make?

Python data scientists typically earn between $80,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with advanced skills in machine learning and big data tools can earn higher salaries, often exceeding $150,000.

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 40 too late for data science?

Age is not a barrier to becoming a Python Data Scientist. Many professionals transition into data science later in their careers by acquiring relevant skills such as Python, machine learning, and data analysis, often through online courses or certifications. Success depends on your ability to learn, adapt, and build a strong portfolio of projects regardless of age.

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. Data scientists often use this concept to focus on the most impactful variables or tasks to optimize model performance and efficiency.

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 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 job categories do people searching Python Data Scientist jobs in Pennsylvania look for? The top searched job categories for Python Data Scientist jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Python Data Scientist jobs? Cities in Pennsylvania with the most Python Data Scientist job openings:
Python Data Scientist jobs near you
Infographic showing various Python Data Scientist job openings in Pennsylvania as of June 2026, with employment types broken down into 71% Full Time, 21% Part Time, and 8% Contract. Highlights an 87% Physical, 6% Hybrid, and 7% Remote job distribution, with an average salary of $123,033 per year, or $59.2 per hour.
Research Data Scientist

Research Data Scientist

System One

Pittsburgh, PA • On-site

Full-time

Posted 22 days ago

Job description

Title: Research Data Scientist Location: Onsite, Pittsburgh, PA 15213 Type: Direct-Hire/Permanent Hours: Standard business hours Start: May Overview: Join a cutting-edge lab to discover novel therapeutics that is seeking a highly motivated Data Scientist to provide advanced analytical and computational support for complex research and data-driven initiatives. This role focuses on developing data analysis pipelines, statistical models, and machine learning approaches to support the integration, interpretation, and visualization of diverse datasets. The position will contribute to building scalable, reproducible data frameworks that enable insights, predictive modeling, and informed decision-making. Responsibilities:

  • Design and implement scalable data analysis pipelines for structured and unstructured datasets
  • Develop and apply statistical models to analyze trends, patterns, and key outcomes
  • Build and deploy machine learning models for predictive analytics and pattern recognition
  • Perform integrative analysis across multiple data sources and modalities
  • Collaborate with stakeholders to support study design, data strategy, and analytical approaches
  • Establish and maintain reproducible workflows, including data preprocessing, quality control, and version control
  • Develop data organization standards and reporting frameworks
  • Generate clear data visualizations, dashboards, and analytical summaries
  • Contribute to technical documentation, reports, and presentations
  • Support data infrastructure development for efficient storage, access, and processing
  • Partner with cross-functional teams to align data solutions with project goals

Requirements:

  • Master’s degree (Ph.D. preferred) in Data Science, Statistics, Computer Science, or a related quantitative field
  • 3+ years of experience in data analysis, statistical modeling, or computational work
  • Strong expertise in statistical analysis and data interpretation
  • Proficiency in programming languages such as Python or R
  • Experience working with large, complex datasets
  • Experience building reproducible data workflows and pipelines
  • Strong analytical, problem-solving, and communication skills
  • Ability to work both independently and collaboratively

Preferred Qualifications

  • Ph.D. in a quantitative or computational discipline
  • Experience with machine learning or advanced modeling techniques
  • Experience integrating data from multiple sources or systems
  • Familiarity with data visualization tools and techniques
  • Experience with data infrastructure, cloud platforms, or big data tools
  • Exposure to analytical work in research or technical environments
  • Experience contributing to technical reports, publications, or presentations

#M3 #LI-KM2 Ref: #558-Scientific

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