Data Scientist Jobs in Pennsylvania
Data Scientist jobs in Pennsylvania are in strong demand, with openings concentrated in financial services, healthcare systems, and life sciences across a range from entry-level analysts through senior and principal roles. Philadelphia and Pittsburgh are the primary hiring markets, with the Lehigh Valley growing as a secondary hub through its health networks and manufacturing operations. Employers like Comcast, UPMC, and Independence Blue Cross maintain consistent data science teams in the state, with the most in-demand specializations in machine learning engineering, clinical analytics, and fraud detection. Find a role that fits below and apply directly.
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Showing 5 of 35+ Data Scientist jobs
We seek a highly skilled Data Scientist located in Philadelphia, PA to lead the implementation of algorithmic decision-making at scale within Group Digital.
This role will center on crafting and implementing machine learning models, neural networks, and supporting MLOps practices to enhance personalization and automation within our digital products.
The chance to work on innovative AI methods and technologies makes this role exceptionally exceptional and thrilling
You will collaborate with data engineers, product teams, and business partners to develop scalable data pipelines, CI/CD workflows, and ETL processes.
The preferred candidate will have expertise in retail, personalization web technologies, GCP, and groundbreaking AI techniques, such as Large Language Models (LLMs), Generative AI, and Knowledge Graphs, preferably experience with Neo4j.
Your Role:
We develop and optimize predictive and prescriptive models to extract insights and improve decision-making.
Clearly communicate complex methodologies, results, and business insights to both technical and non-technical audiences.
deep learning and neural network techniques for customer classification, profiling, customer segmentation, and personalization!
MLOps to efficiently deploy, monitor, and maintain ML models in production.
Implement and fine-tune Large Language Models (LLMs) and Generative AI solutions for automation and user engagement.
We explore and integrate knowledge graphs to enhance data relationships and improve recommendations.
We work with data engineers to craft and develop robust data pipelines for large-scale ETL processing using SQL and cloud-based solutions (GCP preferred).
Write complex SQL queries for extracting, transforming, and loading (ETL) data efficiently.
Implement CI/CD workflows to automate model training, deployment, and monitoring.
Work in an Agile/DevOps environment, collaborating with cross-functional teams to drive data-driven innovation.
We promote a data-centric culture by educating teams on the strategic importance of AI and analytics.
Your skills and experience:
7-10 years of proven experience in Data Science, Machine Learning, or related fields.
Strong expertise in Python, SQL, and modern ML frameworks (TensorFlow, PyTorch, Scikit-Learn).
Experience with MLOps tools (MLflow, Kubeflow, Airflow) for model deployment and monitoring.
Proficiency in Google Cloud Platform (GCP), AWS, and scalable data engineering.
Strong understanding of probability theory, statistics, and experimental design (A/B Testing).
Experience with collaborative software engineering practices (Agile, DevOps).
Experience with Knowledge Graphs (including the Neo4j tool) and their integration into AI/ML pipelines.
Hands-on experience in LLMs (e.g., GPT, BERT, LLaMA, Claude) and Generative AI technologies.
Background in Retail and Personalization Web Technologies.
Proficiency in business intelligence (BI) tools and data visualization.
Bachelor's degree or equivalent experience in Computer Science, Mathematics, Engineering, or related field.
The pay range that the employer in good faith reasonably expects to pay for this position is $36.98/hour - $57.79/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.
Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.
We seek a highly skilled Data Scientist located in Philadelphia, PA to lead the implementation of algorithmic decision-making at scale within Group Digital.
This role will center on crafting and implementing machine learning models, neural networks, and supporting MLOps practices to enhance personalization and automation within our digital products.
The chance to work on innovative AI methods and technologies makes this role exceptionally exceptional and thrilling
You will collaborate with data engineers, product teams, and business partners to develop scalable data pipelines, CI/CD workflows, and ETL processes.
The preferred candidate will have expertise in retail, personalization web technologies, GCP, and groundbreaking AI techniques, such as Large Language Models (LLMs), Generative AI, and Knowledge Graphs, preferably experience with Neo4j.
Your Role:
We develop and optimize predictive and prescriptive models to extract insights and improve decision-making.
Clearly communicate complex methodologies, results, and business insights to both technical and non-technical audiences.
deep learning and neural network techniques for customer classification, profiling, customer segmentation, and personalization!
MLOps to efficiently deploy, monitor, and maintain ML models in production.
Implement and fine-tune Large Language Models (LLMs) and Generative AI solutions for automation and user engagement.
We explore and integrate knowledge graphs to enhance data relationships and improve recommendations.
We work with data engineers to craft and develop robust data pipelines for large-scale ETL processing using SQL and cloud-based solutions (GCP preferred).
Write complex SQL queries for extracting, transforming, and loading (ETL) data efficiently.
Implement CI/CD workflows to automate model training, deployment, and monitoring.
Work in an Agile/DevOps environment, collaborating with cross-functional teams to drive data-driven innovation.
We promote a data-centric culture by educating teams on the strategic importance of AI and analytics.
Your skills and experience:
7-10 years of proven experience in Data Science, Machine Learning, or related fields.
Strong expertise in Python, SQL, and modern ML frameworks (TensorFlow, PyTorch, Scikit-Learn).
Experience with MLOps tools (MLflow, Kubeflow, Airflow) for model deployment and monitoring.
Proficiency in Google Cloud Platform (GCP), AWS, and scalable data engineering.
Strong understanding of probability theory, statistics, and experimental design (A/B Testing).
Experience with collaborative software engineering practices (Agile, DevOps).
Experience with Knowledge Graphs (including the Neo4j tool) and their integration into AI/ML pipelines.
Hands-on experience in LLMs (e.g., GPT, BERT, LLaMA, Claude) and Generative AI technologies.
Background in Retail and Personalization Web Technologies.
Proficiency in business intelligence (BI) tools and data visualization.
Bachelor's degree or equivalent experience in Computer Science, Mathematics, Engineering, or related field.
The pay range that the employer in good faith reasonably expects to pay for this position is $36.98/hour - $57.79/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.
Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.
See All 35 Data Scientist Jobs in Pennsylvania
Find roles in Pennsylvania that match your experience and apply in just a few clicks.
Find Data Scientist JobsData Scientist Jobs by City in Pennsylvania
Where Pennsylvania roles are concentrated, by current openings.
Data Scientist Job Market in Pennsylvania
A snapshot from current Pennsylvania openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Fintech
- Technology & Software
- Construction & Real Estate
What Pennsylvania Employers Look For
The qualifications that appear most often in data scientist jobs across Pennsylvania.
- Bachelor's or master's degree in statistics, computer science, or a quantitative field
- Proficiency in Python or R for data analysis and model development
- Experience building and deploying machine learning models in a production environment
- Ability to query and manipulate large datasets using SQL or similar tools
- Familiarity with data visualization platforms such as Tableau or Power BI
- Strong written and verbal communication skills for presenting findings to non-technical stakeholders
Data Scientist Jobs in Pennsylvania: Frequently Asked Questions
How do you become a data scientist in Pennsylvania?
Data science in Pennsylvania carries no state-issued license or registration requirement, so the path runs through education and demonstrated skills. Most Pennsylvania employers expect at least a bachelor's degree in a quantitative discipline, with master's degree holders competitive for senior roles. Universities such as Carnegie Mellon, Penn, and Penn State produce a large share of the local talent pipeline. Building a portfolio of applied projects and completing relevant certifications strengthens a candidacy considerably.
How much do data scientists make in Pennsylvania?
Data scientists in Pennsylvania earn a median of about $106,850 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $63,340 for the lowest 10% to over $162,290 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data scientists in Pennsylvania?
Employers hiring data scientists in Pennsylvania right now include Carnegie Mellon University, United States Steel, and Environmental Data Validation, based on current listings on Migrate Mate as of September 2026. Pennsylvania's mix of major health systems, financial institutions, and technology firms means openings appear across sectors rather than clustering in a single industry.
Which Pennsylvania cities have the most data scientist jobs?
Pittsburgh, Philadelphia, and Lancaster account for the most data scientist openings in Pennsylvania. Philadelphia leads because of its concentration of health insurers, academic medical centers, and financial services firms, while Pittsburgh's strength in robotics research, healthcare technology, and Carnegie Mellon's institutional presence drives consistent hiring there. Any smaller or suburban markets on the list typically reflect a large anchor employer, a regional hospital network, or a corporate campus nearby.
Are there remote data scientist jobs in Pennsylvania?
Yes, and more than most fields. Data science is a desk-based analytical role with no licensing or hands-on requirement, so it translates well to remote work. About 78% of data scientist openings tied to Pennsylvania are remote or hybrid as of September 2026, reflecting how broadly employers have embraced flexible arrangements for this function. Model development, statistical analysis, and reporting work are the parts of the role most commonly done fully remote.
How can I get hired as a data scientist in Pennsylvania with little or no experience?
The most realistic entry path is an associate or junior data analyst role, which many Pennsylvania employers use as a feeder into data science. UPMC, Highmark, and large financial firms in Philadelphia regularly hire new graduates into structured analytics rotations or data engineering associate programs that build toward data science responsibilities. A portfolio of end-to-end projects, a Kaggle profile, or a graduate capstone tied to a Pennsylvania industry problem, such as clinical outcomes or fraud modeling, gives a candidate a concrete edge over others with a similar academic background.
Where can I find and apply to data scientist jobs in Pennsylvania?
You can find and apply to data scientist jobs in Pennsylvania on Migrate Mate, which lists current Pennsylvania openings across industries and experience levels. Search the listings to find roles that match your background and apply directly to the ones that fit.
See All 35 Data Scientist Jobs in Pennsylvania
Find roles in Pennsylvania that match your experience and apply in just a few clicks.
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