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Data Science Associate Jobs in Pennsylvania (NOW HIRING)

Niche - Technical

PA · On-site

$55.38/hr

Associate Data Scientist Location : Pittsburgh PA, Northeast Minnesota, Northwest Indiana, or St. Louis Duration : 12 Months Pay Range : $ 42.6 /hr. On W2 You will be trained and developed to become ...

This effort aims to strengthen the University's leadership in computational and data-driven ... Associate professors should have a record of high-quality publications and demonstrate teaching ...

Associate Data Engineer III

Reading, PA

$110K - $132K/yr

And, it starts with our associates. No matter what your skills or technology stack, our IT team is ... You will support our software developers, database architects, data analysts and data scientists on ...

Associate Data Engineer III

Reading, PA

$110K - $132K/yr

And, it starts with our associates. No matter what your skills or technology stack, our IT team is ... You will support our software developers, database architects, data analysts and data scientists on ...

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Data Science Associate information

See Pennsylvania salary details

$57.6K

$68.2K

$129.3K

How much do data science associate jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data science associate in Pennsylvania is $68,202.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,100.00 and $59,600.00 per year, depending on experience, location, and employer.

How does a Data Science Associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

Is 40 too late for data science?

Age is not a barrier to becoming a data science associate; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Is an Associates in data science worth it?

An associate's degree in data science can provide foundational skills in data analysis, programming, and statistics, which may help entry-level candidates qualify for junior data science roles. However, many employers prefer candidates with a bachelor's degree or higher, and practical experience or certifications in tools like Python, R, or SQL can enhance job prospects. The value depends on career goals and the specific requirements of potential employers.

What can I do with an associate's degree in data science?

A Data Science Associate with an associate's degree can work as a data analyst, supporting data collection, cleaning, and basic analysis using tools like Excel, SQL, and Python. They often assist in generating reports, visualizations, and insights under supervision, and may pursue certifications to enhance their skills for more advanced roles.

What are Data Science Associates?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What is the role of an associate data scientist?

An associate data scientist supports data analysis and modeling tasks by cleaning and processing data, developing algorithms, and creating visualizations. They often work under supervision to assist in building predictive models and may use tools like Python, R, or SQL to analyze data and generate insights.

What are the key skills and qualifications needed to thrive as a Data Science Associate, and why are they important?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

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

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What are the most commonly searched types of Data Science jobs in Pennsylvania? The most popular types of Data Science jobs in Pennsylvania are:
What are popular job titles related to Data Science Associate jobs in Pennsylvania? For Data Science Associate jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Data Science Associate jobs in Pennsylvania look for? The top searched job categories for Data Science Associate jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Data Science Associate jobs? Cities in Pennsylvania with the most Data Science Associate job openings:
Infographic showing various Data Science Associate job openings in Pennsylvania as of July 2026, with employment types broken down into 1% As Needed, 62% Full Time, 32% Part Time, 2% Temporary, 2% Contract, and 1% Nights. Highlights an 93% Physical, 5% Hybrid, and 2% Remote job distribution, with an average salary of $68,202 per year, or $32.8 per hour.
Data Engineer Associate - Data Products

Data Engineer Associate - Data Products

PNC Financial Services Group, Inc.

Pittsburgh, PA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


PNC Bank rating

7.7

Company rating: 7.7 out of 10

Based on 342 frontline employees who took The Breakroom Quiz

80th of 149 rated banks


Job description

Position Overview
At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Software Engineer Associate within PNC's Data Products organization, you will be based in Pittsburgh, PA.
Design, build, and maintain scalable data ingestion pipelines across on-premises
and cloud environments.
• Develop and apply data modeling techniques to support analytics and reporting use
cases.
• Ensure data quality, governance, security, and compliance across data domains.
• Collaborate with business analysts, data scientists, and other stakeholders to
gather requirements and deliver reliable data solutions.
• Use cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies
(e.g., Hadoop, Spark, Kafka) to develop robust data assets.
• Apply DevOps best practices and CI/CD tools to automate, deploy, and optimize
data workflows.
• Implement application health monitoring and alerting to ensure data pipeline
reliability and performance.
• Participate in Agile/SAFe ceremonies, including sprint planning, daily standups, and
retrospectives.
PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.
PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.
Job Description
  • Assists in developing, supporting and implementing data solutions for multiple applications in order to meet business objectives and user requirements. Leverages technical knowledge and industry experience to design, build and maintain technology solutions.
  • Performs data requirement analysis and the data preparation process development for targeted data solutions.
  • Assists in designing and building data service infrastructure on multiple data platforms, according the workflow.
  • Participates the development and implementation of data solutions for multiple applications to ensure its scalability, availability and maintainability.
  • Consults on data migration and transformation to ensure the accuracy and security of data solutions.

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:
  • Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
  • Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.

Qualifications
Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.
Preferred Skills
Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML)
Competencies
Application Delivery Process, Big Data Management and Analytics, Business Intelligence, Data Analysis - Software, Data Architecture, Database Structures, Effective Communications, Problem Solving, Software Development Life Cycle
Work Experience
Roles at this level typically require a university / college degree, with 2+ years of relevant professional experience. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.
Education
Bachelors
Certifications
No Required Certification(s)
Licenses
No Required License(s)
Benefits
PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.
In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.
To learn more about these and other programs, including benefits for full time and part-time employees, visit pncthrive.com.
Disability Accommodations Statement
If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.
Equal Employment Opportunity (EEO)
PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.
This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.
California Residents
Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

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