1

Python Data Scientist Jobs in Pennsylvania (NOW HIRING)

Mandatory Skills: - SQL, Python, Tableau, Databricks, AI/ML, Telecom industry experience Optional ... in Data Science, Statistics, Computer Science, Engineering, Business, or related field (or ...

Data Scientist

Philadelphia, PA · On-site

$103K - $173K/yr

Extensive Python programming skills and experience building production-quality data science solutions. * Experience with machine learning fundamentals, including model development, evaluation ...

Data Scientist

Philadelphia, PA · On-site

$103K - $173K/yr

Extensive Python programming skills and experience building production-quality data science solutions. * Experience with machine learning fundamentals, including model development, evaluation ...

Data Scientist

Philadelphia, PA · On-site

$103K - $173K/yr

Extensive Python programming skills and experience building production-quality data science solutions. * Experience with machine learning fundamentals, including model development, evaluation ...

Data Scientist

Philadelphia, PA · On-site

$103K - $173K/yr

Extensive Python programming skills and experience building production-quality data science solutions. * Experience with machine learning fundamentals, including model development, evaluation ...

Data Scientist

Conshohocken, PA · On-site +1

$175K/yr

Strong proficiency in Python and modern data science libraries. * Advanced SQL skills and experience working with large-scale, complex datasets. * Experience applying statistical analysis and ...

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, DevOps and QA ... Ability to write clean, expressive code in Python, use of open source frameworks such as TensorFlow ...

Lead Data Scientist

Philadelphia, PA · On-site

$150K - $175K/yr

Data Scientists collaborate directly with the Business, Product, Data Engineering, DevOps and QA ... Ability to write clean, expressive code in Python, use of open source frameworks such as TensorFlow ...

Lead Data Scientist

Philadelphia, PA · On-site

$150K - $175K/yr

Data Scientists collaborate directly with the Business, Product, Data Engineering, DevOps and QA ... Ability to write clean, expressive code in Python, use of open source frameworks such as TensorFlow ...

The role is an in-office position where the Data Scientist is expected to be in the office ... Practical experience programming using Python, R or other high level scripting languages is ...

The role is an in-office position where the Data Scientist is expected to be in the office ... Python, R or other high level scripting languages is required. Demonstrated experience with one or ...

Synergy Staffing is seeking an experienced Data Scientist with a strong focus on Microsoft Fabric ... Python, Spark, SQL) for advanced transformations and automation. • Deploy, monitor, and optimize ...

next page

Showing results 1-20

Python Data Scientist information

See Pennsylvania salary details

$37.6K

$123K

$197K

How much do python data scientist jobs pay per year?

As of Aug 4, 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.

How much does a Python Data Scientist make?

A Python Data Scientist's salary varies based on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually in the United States. Senior roles or those with advanced skills in machine learning and big data tools can earn higher compensation. Certifications and a strong portfolio can also influence salary levels.

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.

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.

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.

Is Python good for data science?

Python is widely used by data scientists due to its simplicity, extensive libraries like Pandas, NumPy, and scikit-learn, and strong community support. It enables efficient data analysis, modeling, and visualization, making it a preferred programming language in the data science field.
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:
Infographic showing various Python Data Scientist job openings in Pennsylvania as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $123,033 per year, or $59.2 per hour.

Other

This job post has expired today. Applications are no longer accepted.


Job description

Any W2

Role Name - Data Scientist
ROLE_DESCRIPTION -
Senior AWS Data Scientist with 8+ years of experience in Machine Learning, MLOps, and GenAI, specializing in Amazon SageMaker, Bedrock, Python, and AWS analytics services to build, deploy, and optimize scalable AI/ML solutions.
 
AWS Data Scientist with strong expertise in Amazon SageMaker, Python, Machine Learning, MLOps, and AWS Analytics services, capable of building, deploying, monitoring, and optimizing scalable ML/AI solutions, including GenAI workloads on AWS.
Strong experience in Amazon SageMaker for ML model development, training, deployment, and monitoring.
Proficiency in Python, SQL, Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch.
Hands-on with S3, Glue, Athena, Redshift, Lambda, and CloudWatch.
Expertise in feature engineering, predictive modeling, and statistical analysis.
Experience with MLOps, SageMaker Pipelines, CI/CD, Docker, and GitHub.
Knowledge of GenAI/LLMs, Amazon Bedrock, SageMaker JumpStart, and RAG frameworks.
Exposure to Arize AI/ML model monitoring and observability.
Strong problem-solving skills with experience delivering scalable AI/ML solutions on AWS.
 
Skills: Digital : Data Science~Digital : Python~Digital : Python for Data Science
Experience Required: 6-8