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Data Science Associate Jobs in Pennsylvania (NOW HIRING)

Associate Data Scientist

Pittsburgh, PA · On-site

$57K - $57K/yr

If you are a data science or statistics expert with an interest in cybersecurity, we want to hear from you! Requirements: * BS in data science, machine learning, computer science, statistics, or ...

As a Manager - Data Science, you will lead an international team. This team consists of data ... Azure Data Engineer Associate helpful Microsoft Certified: Azure Database Administrator Associate ...

Lead Data Scientist

Chadds Ford, PA · On-site +1

$144K - $250K/yr

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or ... New associate elected coverage begins on date of hire (with the exception of disability coverage ...

... and its associates are driven by a dedication to excellence and a commitment to customer success. Visit Go Penske to learn more. Qualifications: Bachelor's degree in Data science, Statistics ...

... and its associates are driven by a dedication to excellence and a commitment to customer success. Visit Go Penske to learn more. Qualifications: Bachelor's degree in Data science, Statistics ...

All associates are expected to positively collaborate with individuals of diverse backgrounds. We ... Evaluate other emerging methods and research to ensure SKC stays current with data science best ...

... Science team in the Applied Research Laboratory (ARL) at Penn State. You will aid our research ... Combine full spectrum source data with modeling capabilities that associate real world objects to ...

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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 Aug 28, 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.

What is a data science associate?

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 are the key skills and qualifications needed to thrive as a data science associate?

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.

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.

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 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 advance into more specialized roles.

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 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 $68,202 per year, or $32.8 per hour.

Associate Director, Data Science & AI Solutions

Merck & Co.

Upper Gwynedd, PA

$57K - $57K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago


Merck rating

8.0

Company rating: 8.0 out of 10

Based on 51 frontline employees who took The Breakroom Quiz

43rd of 86 rated pharmaceutical


Job description

Job DescriptionThe mission of the Analytics & Technology Systems QA group is to provide the foundation to identify, explore, and efficiently develop solutions to enhance our quality oversight activities.Under the direction of the Senior Director, Analytics & Technology Systems of our Research & Development Division QA, we are seeking an Associate Director, Data Science & AI Solutions, to join our R&D Quality Assurance Analytics & Tech Systems team. In this role, you will bridge the gap between hands-on advanced software development and strategic business partnership. You will lead the design, deployment, and long-term lifecycle of our next-generation AI and data science solutions-ranging from traditional machine learning and simulations to custom generative AI applications (such as RAG and agentic workflows).As a technical and strategic leader, you will collaborate with business stakeholders to identify high-value opportunities, translate complex technical concepts for different audiences, and partner with governance bodies to ensure all advanced analytics tools are robust, compliant, and scalable.Key Responsibilities1. AI Development & System LifecycleTechnical Delivery: Build, deploy, and maintain advanced AI applications (including custom RAG pipelines and agentic systems) alongside traditional analytics solutions (forecasts, simulations, and optimizations) to solve critical research & development quality business challenges.Environment Management: Work within enterprise analytics platforms (e.g., Dataiku, Posit Workbench) to monitor, enhance, and scale existing operational analytics systems.2. GxP AI Governance & ComplianceRegulatory Alignment: Collaborate with the GxP AI Governance Program to develop frameworks that ensure AI solutions adhere to regulatory requirements, validation playbooks, and standardized monitoring protocols.3. Business Partnership & Technical TranslationTranslational Communication: Act as the primary technical translator, explaining complex AI algorithms, models, and limitations to non-technical stakeholders and leadership in a clear, business-friendly manner.Demand Intake: Collaborate with business leaders to identify operational challenges and propose high-value data science and AI use cases.Business Acumen: Demonstrates a strong willingness to learn and understand business processes, priorities, and stakeholder's needs to drive meaningful outcomes.4. Leadership & UpskillingTeam Mentorship: Educate and upskill QA team members on modern tech stacks, Large Language Models (LLMs), and general data literacy.External Representation: Represent our company in cross-functional forums, such as IMPALA (Intercompany Quality Analytics).Required QualificationsEducations/Experience:- BS/BA degree in relevant area and 5+ years of experience in the pharmaceutical, biotech or technology related industry.Analytical & Programming Core: Minimum 5 years of professional experience using Python, R, and advanced SQL to design and deploy machine learning, forecasting, or optimization models.Modern AI Engineering: Hands-on experience developing custom RAG architectures, working with LLM APIs, and utilizing core MLOps practices (version control/Git, monitoring, and model maintenance).Data Engineering & Visualization: Proficiency in designing user-friendly dashboards (PowerBI or Spotfire) and a foundational understanding of Extract, Transform, Load (ETL) pipelines and data structures.Cloud & Architecture: Familiarity with hosting and deploying AI solutions or agentic pipelines in cloud environments (AWS, Azure, or GCP).Regulated Industry Experience: Prior experience in a regulated pharmaceutical (GxP) environment, with exposure to software validation or AI governance frameworks.Communication & Influence: Exceptional communication skills with a proven ability to distill complex technical terminology into actionable insights for non-technical business partners.Global Collaboration: Experience working with and supporting different, cross-functional teams in a global, matrixed organization.Passionate Learner: Continuously explores emerging technologies, including generative AI, and identifies opportunities to apply them to drive innovation and business value.Required Skills: AI Programming, Audience View, Biopharmaceutical Industry, Business Acumen, Business Intelligence (BI), Business Processes, Business Process Modeling, Database Design, Data Engineering, Data Literacy, Data Modeling, Data Science, Data Visualization, Extract Transform Load (ETL), Generative AI, Git Version Control System, Large Language Models (LLMs), Machine Learning (ML), Python (Programming Language), Software Development, Stakeholder Relationship Management, Version ControlPreferred Skills: Current Employees apply HERE Current Contingent Workers apply HERE US and Puerto Rico Residents Only:Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process. As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics.--As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities.- For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:EEOC Know Your Rights EEOC GINA Supplement• We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another's thinking and approach problems collectively.Learn more about your rights, including under California, Colorado and other US State Acts The salary range for this role is$156,900.00 - $247,000.00This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee's position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs.The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.We offer a comprehensive package of benefits.- Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at https://jobs.merck.com/us/en/compensation-and-benefits .You can apply for this role through https://jobs.merck.com/us/en (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting. San Francisco Residents Only: -We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance Los Angeles Residents Only: -We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance Search Firm Representatives Please Read Carefully-Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. -No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.-Employee Status: RegularRelocation:No relocationVISA Sponsorship:No Travel Requirements: No Travel RequiredFlexible Work Arrangements:HybridShift:1st - DayValid Driving License:NoHazardous Material(s):N/AJob Posting End Date:08/28/2026 *A job posting is effective until 11:59:59PM on the day BEFORE -the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID:R410854 Salary: . Date posted: 08/21/2026

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