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Data Science Analytics Jobs in Pennsylvania (NOW HIRING)

Data Scientist

Conshohocken, PA · On-site +1

$175K/yr

Data Science & Advanced Analytics * Analyze large and complex datasets to identify patterns, trends, and opportunities that support strategic business decisions. * Develop predictive models, scoring ...

Supports Penske's Procurement & Fleet Planning team by developing and delivering advanced analytics, reporting, and data science solutions that support fleet planning, vehicle acquisition ...

Supports Penske's Procurement & Fleet Planning team by developing and delivering advanced analytics, reporting, and data science solutions that support fleet planning, vehicle acquisition ...

Supports Penske's Procurement & Fleet Planning team by developing and delivering advanced analytics, reporting, and data science solutions that support fleet planning, vehicle acquisition ...

Stay current with emerging trends in data science, machine learning, analytics, and artificial intelligence. * Learn and apply new analytical techniques, tools, and best practices. * Participate in ...

New

Stay current with emerging trends in data science, machine learning, analytics, and artificial intelligence. * Learn and apply new analytical techniques, tools, and best practices. * Participate in ...

Data Science Tutor

Harrisburg, PA · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Allentown, PA · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Pittsburgh, PA · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Chester, PA · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Reading, PA · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Erie, PA · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

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Data Science Analytics information

See Pennsylvania salary details

$24

$54

$94

How much do data science analytics jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for data science analytics in Pennsylvania is $54.88, according to ZipRecruiter salary data. Most workers in this role earn between $44.09 and $62.16 per hour, depending on experience, location, and employer.

What is data science analytics?

Data science analytics is the process of extracting insights and knowledge from data using statistical, mathematical, and computational techniques. It involves collecting, cleaning, analyzing, and visualizing data to help organizations make informed decisions. Professionals in this field use tools like Python, R, and SQL to interpret complex data sets, build predictive models, and identify trends or patterns. Data science analytics plays a key role in industries such as finance, healthcare, retail, and technology, enabling businesses to optimize operations and improve outcomes.

What are the key skills and qualifications needed to thrive as a data science analytics professional?

To thrive in Data Science Analytics, a strong background in statistics, data modeling, and programming (often with a degree in computer science, mathematics, or a related field) is essential. Familiarity with tools such as Python, R, SQL, and data visualization platforms like Tableau or Power BI, as well as knowledge of machine learning libraries, is typically required. Critical thinking, problem-solving, and effective communication skills help professionals translate complex data insights into actionable business strategies. These competencies are crucial for extracting meaningful information from data and driving informed decision-making within organizations.

How do data science analytics professionals typically collaborate with other departments within an organization?

Data science analytics professionals often work closely with teams across the organization, such as marketing, finance, product development, and IT. Their role involves understanding business needs, gathering requirements, and translating complex data findings into actionable insights for non-technical stakeholders. Effective communication and teamwork are essential, as data scientists may participate in cross-functional meetings, present their analyses, and tailor their recommendations to support strategic decision-making. This collaborative approach not only enhances the impact of analytics projects but also fosters continuous learning and innovation within the organization.

What is the difference between Data Science Analytics vs Data Analyst?

AspectData Science AnalyticsData Analyst
Required CredentialsDegree in Data Science, Statistics, or related fields; programming skillsDegree in Statistics, Mathematics, or related fields; proficiency in Excel and SQL
Work EnvironmentOften involves complex modeling, machine learning, and predictive analyticsFocuses on data cleaning, reporting, and visualization
Employer & Industry UsageTech companies, finance, healthcare, and research institutionsBusiness, marketing, finance, and operations across various industries

Data Science Analytics and Data Analysts both work with data, but Data Science Analytics typically involves advanced modeling and predictive techniques, while Data Analysts focus on data reporting and visualization. The roles often overlap, but Data Science Analytics requires more technical skills and a deeper understanding of algorithms.

What can I do with data science analytics?

Data science analytics involves analyzing large datasets to extract insights, support decision-making, and solve complex problems. Professionals in this field use tools like Python, R, and SQL, and often work in industries such as finance, healthcare, or marketing to develop predictive models and visualize data. Skills in statistics, machine learning, and data visualization are essential for success in this role.

What are the most commonly searched types of Data Science Analytics jobs in Pennsylvania?

The most popular types of Data Science Analytics jobs in Pennsylvania are:

Infographic showing various Data Science Analytics job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $114,147 per year, or $54.9 per hour.

Data Science and Analyst

HILLANDALE GETTYSBURG LLC

York Springs, PA • On-site

Full-time

Re-posted 17 days ago


Hillandale Farms rating

6.0

Company rating: 6.0 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

339th of 443 rated food and drinks producers


Job description

Hillandale Farms is seeking a talented and curious Mid-Level Data Scientist & Analyst to join our growing data team. In this role, you will bridge exploratory analysis and production-grad modeling - Transforming raw data into actionable insights that drive business decisions. You will collaborate with management to generate metrics, build models, and clearly communicate results that support decision-making. THIS IS NOT A REMOTE POSITION


Requirements:

  • 3-5 years of hands-on experience in data science, analytics, or a related field.
  • Proficiency in Python (pandas, scikit-learn, NumPy, matplotlib/seaborn) or R.
  • Strong SQL skills - writing complex queries, CTEs, window functions.
  • Proficiency in Power BI for dashboard development and business reporting.
  • Solid understanding of statistics
  • Experience with version control (Git) and collaborative workflows.
  • Strong communication skills - ability to tell a story with data


Key Responsibilities:

Design and maintain data analytics solutions across the organization, working closely with business users to translate their needs into actionable insights and reporting through Power BI. Collaborate with management and company directors to identify opportunities, implement new analytical solutions, and enhance existing ones that support data-driven decision-making and drive operational efficiency across the organization.


Travel Requirements:

This role may require occasional travel, up to approximately 20% of the time, to support business operations across company locations.



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