ZipRecruiter

Log In

1

Python Data Scientist Jobs in Pennsylvania (NOW HIRING)

Winaxis

Data Scientist

Philadelphia, PA · On-site

$60/hr

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

Cmu

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 ...

Govini

Data Scientist

Pittsburgh, PA · On-site

They are seeking an inquisitive data scientist to work with large datasets and design scalable ... Python • Prior hands-on experience working with data-driven analytics • Proven ability to ...

Govini

Data Scientist

Pittsburgh, PA

Our flagship product, Ark, supports Supply Chain, Science and Technology, Production, Sustainment ... Regular development experience in Python * Prior hands-on experience working with data-driven ...

Govini

Data Scientist

Pittsburgh, PA · On-site

Our flagship product, Ark, supports Supply Chain, Science and Technology, Production, Sustainment ... Regular development experience in Python * Prior hands-on experience working with data-driven ...

PECO

Sr Data Scientist

Philadelphia, PA · On-site

The Sr Data Scientist will apply the scientific method to extract knowledge and insights from ... to - Python, R, Scala, or equivalent; Spark, Hadoop file system and others (15%) • Access and ...

Govini

Data Scientist

Pittsburgh, PA

Our flagship product, Ark, supports Supply Chain, Science and Technology, Production, Sustainment ... Regular development experience in Python * Prior hands-on experience working with data-driven ...

Novacore

Data Scientist

Conshohocken, PA · On-site

Data Scientist The Data Scientist will work closely with underwriting, product, operations, and ... Strong proficiency in Python and/or R for statistical analysis and model development. * Advanced ...

Novacore

Data Scientist

Conshohocken, PA · On-site +1

Data ScientistThe Data Scientist will work closely with underwriting, product, operations, and ... Strong proficiency in Python and/or R for statistical analysis and model development. * Advanced ...

BNY

Vice President, Data Scientist

Pittsburgh, PA · On-site

The Vice President, Data Scientist plays a critical role in driving data-driven decision-making ... Proficiency in statistical programming languages such as Python, R, or SQL. * Strong analytical and ...

next page

Showing results 1-20

People also search for

All JobsPython Data Scientist JobsPython Data Scientist Jobs in Pennsylvania

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 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
Data Scientist - Pricing and Analytics

Data Scientist - Pricing and Analytics

PGW Auto Glass

Cranberry Township, PA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

PGW Auto Glass rating

4.6

Company rating: 4.6 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

319th of 331 rated retail wholesalers

Job description

Job Summary:
PGW Auto Glass is seeking a highly motivated and analytical Data Scientist to join our Pricing & Analytics team. This role will focus on transforming large-scale enterprise data into actionable business insights that improve pricing strategy, sales performance, inventory optimization, customer experience, and operational efficiency across our branch and distribution center network throughout the United States and Canada.
The ideal candidate will possess strong analytical and visualization capabilities, practical experience with Microsoft Fabric and Azure data services, and exposure to machine learning and AI-driven analytics. This position will work closely with Pricing, Supply Chain, Operations, IT, and Executive Leadership teams to develop modern analytics solutions and self-service reporting platforms.
This role is ideal for someone who enjoys combining data science, business intelligence, and modern cloud analytics technologies to solve real-world business problems.
Key Responsibilities & Duties:
Data Analytics & Visualization
  • Design, develop, and maintain interactive dashboards and analytical solutions using:

o Microsoft Power BI
o Fabric Direct Lake semantic models
o Power BI Copilot capabilities
o Paginated reports and executive scorecards
  • Create KPI-driven dashboards for:

o Pricing analytics
o POS sales trends
o Inventory optimization
o Supply chain performance
o Customer purchasing behavior
o Branch and DC operational analytics
  • Enable self-service analytics for business users through governed semantic models and curated datasets.

Data Science & AI/ML
  • Develop predictive and prescriptive analytics models for:

o Dynamic pricing
o Sales forecasting
o Demand planning
o Customer segmentation
o Lost sales analysis
o Inventory replenishment
  • Apply machine learning and AI techniques using:

o Python
o Spark notebooks
o Fabric Data Science workloads
o Azure AI / OpenAI capabilities
  • Assist with AI-driven initiatives including:

o Copilot-enabled analytics
o Conversational BI
o Sentiment analysis
o Speech-to-text analytics
o Agentic AI use cases
Microsoft Fabric & Cloud Analytics
  • Work extensively with Microsoft Fabric ecosystem including:

o OneLake
o Lakehouse
o Data Warehouse
o Data Factory
o Dataflows Gen2
o Eventstream / Real-Time Intelligence
o Spark Notebooks
o Semantic Models
o Power BI
  • Support ingestion and transformation of enterprise data from:

o Oracle
o SQL Server
o APIs
o SaaS platforms
o XML/JSON log files
o Event streaming platforms
  • Build scalable analytics pipelines and curated datasets for enterprise reporting.

Business Collaboration
  • Partner with Pricing, Sales, Supply Chain, Operations, and IT teams to understand business challenges and deliver analytical solutions.
  • Translate complex business requirements into technical analytics solutions.
  • Present findings and recommendations to leadership teams in a clear and concise manner.
  • Participate in enterprise data modernization and cloud transformation initiatives.

Qualifications & Skills:
Required Qualifications
  • Bachelor's or master's degree in:

o Data Science
o Computer Science
o Information Systems
o Engineering
o Statistics
o Mathematics
o or related field
  • 3-5 years of experience in:

o Data Analytics
o Business Intelligence
o Data Science
o or related analytics roles
  • Strong experience with:

o Power BI
o SQL
o Data modeling
o Dashboard development
  • Experience with Microsoft Azure and/or Microsoft Fabric platform.
  • Proficiency in Python for analytics and data manipulation.
  • Experience working with large enterprise datasets.

Preferred Qualifications
Experience with Microsoft Fabric services including:
o Lakehouse
o Spark
o Data Factory
o Real-Time Analytics
o Semantic Models
  • Experience with machine learning frameworks and AI/ML concepts.

Knowledge of:
o Pricing analytics
o Supply chain analytics
o Inventory optimization
o Wholesale/distribution analytics
Experience with:
o REST APIs
o Event streaming
o Kafka/Event Hub
o XML/JSON data processing
  • Familiarity with cloud data warehouse modernization initiatives.

Microsoft certifications in:
o Azure
o Power BI
o Fabric
o Data Engineering are a plus.
Technical Skills
Required
  • Power BI
  • SQL
  • Python
  • Data Modeling
  • DAX
  • ETL/ELT Concepts
  • Dashboard Development

Preferred
  • Microsoft Fabric
  • Azure Synapse
  • Spark / PySpark
  • Dataflows Gen2
  • OneLake
  • Azure Data Factory
  • Azure Event Hub
  • REST APIs
  • AI/ML Tooling

Soft Skills
  • Strong analytical and problem-solving mindset
  • Excellent communication and presentation skills
  • Ability to work independently and collaboratively
  • Strong business acumen
  • Ability to manage multiple priorities in a fast-paced environment
  • Curiosity and passion for emerging AI and analytics technologies

Work Environment & Physical Requirements (if applicable):
PGW Auto Glass, LLC is working in a hybrid environment. Team members are expected to commute to our Cranberry Township, PA, Headquarters three days per week. Visa sponsorship is not available for this role.
Why Join PGW Auto Glass?
  • Opportunity to help modernize enterprise analytics using Microsoft Fabric and AI technologies
  • Work on high-impact initiatives visible to executive leadership
  • Exposure to cutting-edge cloud analytics and AI solutions
  • Collaborative environment with opportunities for growth and innovation
  • Ability to influence enterprise-wide data strategy and self-service analytics adoption

Benefits and Compensation:
  • Comprehensive health, dental, vision, and disability coverage options.
  • Employer-provided life insurance and long-term disability benefits.
  • Paid time off (PTO) and paid holidays.
  • 401(k) retirement plan with company match.
  • Parental leave and support continuing education.

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

What PGW Auto Glass employees say

Workplace

Get the full story on Breakroom

Apply