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Overnight Python Data Science Jobs in Pennsylvania

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

Owns complex data science initiatives to support data-driven business decision making. Design and ... Advanced Python programming and experience with machine learning frameworks (e.g., TensorFlow ...

Ownscomplex data science initiativesto support data-driven business decision making.Designand ... Advanced Python programming and experience with machine learning frameworks (e.g., TensorFlow ...

Proficiency in high level scripting language, such as Python or R * Understanding of the strategic application of data science methodologies in driving valuable business outcomes for large ...

Ownscomplex data science initiativesto support data-driven business decision making.Designand ... Advanced Python programming and experience with machine learning frameworks (e.g., TensorFlow ...

Owns complex data science initiatives to support data-driven business decision making. Design and ... Advanced Python programming and experience with machine learning frameworks (e.g., TensorFlow ...

Proficiency in high level scripting language, such as Python or R * Understanding of the strategic application of data science methodologies in driving valuable business outcomes for large ...

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Overnight Python Data Science information

What are Overnight Python Data Science jobs?

Overnight Python Data Science jobs involve working night shifts to perform data analysis, build models, or process data using Python programming. These roles may include tasks like cleaning datasets, running automated pipelines, and generating reports for teams that operate on a 24-hour cycle. Such positions are common in industries that require round-the-clock data monitoring or support, such as finance, healthcare, or IT operations. Professionals in these roles typically have experience with Python, data science libraries, and may collaborate with global teams across different time zones.

What are the main challenges of working as an Overnight Python Data Science professional, and how can I succeed in this role?

Working as an Overnight Python Data Science professional often means handling data pipelines, model monitoring, and urgent troubleshooting during hours with limited team support. The main challenges include quickly resolving unexpected data issues, maintaining high attention to detail during late hours, and communicating findings to daytime teams. Success in this role relies on strong problem-solving skills, proactive communication (such as clear shift handovers), and the ability to work independently while following established protocols. Building robust documentation and automating regular tasks can also help manage workload and reduce errors.

What are the key skills and qualifications needed to thrive as an Overnight Python Data Science professional, and why are they important?

To thrive as an Overnight Python Data Science professional, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and machine learning concepts, often backed by a degree in a quantitative field. Familiarity with tools such as Jupyter Notebook, Pandas, Scikit-learn, and data visualization libraries, along with experience using databases and cloud platforms, is typically required. Excellent problem-solving skills, attention to detail, and the ability to work independently during non-standard hours help you excel in this role. These skills and qualities are vital for efficiently analyzing data, building reliable models, and delivering actionable insights in a time-sensitive, often autonomous overnight environment.

What is the difference between Overnight Python Data Science vs Data Analyst?

AspectOvernight Python Data ScienceData Analyst
Required SkillsPython, data analysis, machine learning, statistical modelingExcel, SQL, data visualization, basic statistics
Work EnvironmentRemote or night shifts, tech-focused companies, data-driven rolesOffice-based or remote, business or marketing departments
Industry UsageTech, finance, e-commerce, healthcareRetail, finance, marketing, consulting

Overnight Python Data Science roles focus on advanced data analysis, machine learning, and programming skills, often requiring night shifts and remote work. Data Analysts typically handle data visualization, reporting, and basic analysis during regular hours. Both roles are essential in data-driven industries but differ in technical complexity and work schedules.

What are the most commonly searched types of Python Data Science jobs in Pennsylvania? The most popular types of Python Data Science jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Overnight Python Data Science jobs? Cities in Pennsylvania with the most Overnight Python Data Science job openings:
Data Scientist - Pricing and Analytics

Data Scientist - Pricing and Analytics

PGW Auto Glass

Cranberry Township, PA • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

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


PGW Auto Glass rating

4.6

Company rating: 4.6 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

325th of 336 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. 

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