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Data Science Machine Learning Jobs in Pennsylvania

RELX Group plc

Data Scientist

Philadelphia, PA · On-site

$103K - $173K/yr

Degree in Data Science, Machine Learning, Artificial Intelligence, Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline. * Extensive Python programming skills and ...

Elsevier

Data Scientist

Philadelphia, PA

$103K - $173K/yr

Degree in Data Science, Machine Learning, Artificial Intelligence, Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline. * Extensive Python programming skills and ...

Elsevier

Data Scientist

Philadelphia, PA · On-site

$103K - $173K/yr

Degree in Data Science, Machine Learning, Artificial Intelligence, Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline. * Extensive Python programming skills and ...

RELX

Data Scientist

Philadelphia, PA

$103K - $173K/yr

Degree in Data Science, Machine Learning, Artificial Intelligence, Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline. * Extensive Python programming skills and ...

Nuuly

Nuuly Lead Data Scientist

Philadelphia, PA · On-site

This new initiative will involve utilizing data science and machine learning best practices to achieve business objectives, including demand forecasting, pricing, and experimentation. This individual ...

Nuuly

Nuuly Lead Data Scientist

Philadelphia, PA · On-site

This new initiative will involve utilizing data science and machine learning best practices to achieve business objectives, including demand forecasting, pricing, and experimentation. This individual ...

RELX

Data Scientist III

Philadelphia, PA · On-site +1

$110K - $115K/yr

Also required is: 2 years of experience: with doctor, nurse, and patient information needs to design Data Science, Machine Learning (ML) and Natural Language Processing (NLP) solutions to improve ...

Remitly

Data Scientist III

Philadelphia, PA · On-site +1

$110K - $115K/yr

Also required is: 2 years of experience: with doctor, nurse, and patient information needs to design Data Science, Machine Learning (ML) and Natural Language Processing (NLP) solutions to improve ...

RELX Group plc

Data Scientist III

Philadelphia, PA · On-site

$110K - $115K/yr

Also required is: 2 years of experience: with doctor, nurse, and patient information needs to design Data Science, Machine Learning (ML) and Natural Language Processing (NLP) solutions to improve ...

RELX Group plc

Senior Data Scientist

Philadelphia, PA · On-site

Significant hands-on experience in Data Science, Machine Learning, Artificial Intelligence, NLP, Information Retrieval, Statistics, Computer Science, or a related quantitative discipline. * Advanced ...

Elsevier

Senior Data Scientist

Philadelphia, PA

Significant hands-on experience in Data Science, Machine Learning, Artificial Intelligence, NLP, Information Retrieval, Statistics, Computer Science, or a related quantitative discipline. * Advanced ...

Elsevier

Senior Data Scientist

Philadelphia, PA · On-site

Significant hands-on experience in Data Science, Machine Learning, Artificial Intelligence, NLP, Information Retrieval, Statistics, Computer Science, or a related quantitative discipline. * Advanced ...

RELX

Senior Data Scientist

Philadelphia, PA

Significant hands-on experience in Data Science, Machine Learning, Artificial Intelligence, NLP, Information Retrieval, Statistics, Computer Science, or a related quantitative discipline. * Advanced ...

Motional

Machine Learning Engineer, Data Mining

Pittsburgh, PA · On-site +1

$111K - $133K/yr

Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery ... What We're Looking For (Must-Haves): * BS or MS in Computer Science, Machine Learning, or a related ...

The Pennsylvania State University

$76K - $129K/yr

Data science/algorithm development * Data science / Machine Learning languages, to include Python * Research, development, and implementation of machine learning models Experience in the following is ...

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Showing results 1-20

All JobsData Science Machine Learning JobsData Science Machine Learning Jobs in Pennsylvania

Data Science Machine Learning information

See Pennsylvania salary details

$37.6K

$123K

$197K

How much do data science machine learning jobs pay per year?

As of Jun 29, 2026, the average yearly pay for data science machine learning in Pennsylvania is $123,033.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,700.00 and $136,300.00 per year, depending on experience, location, and employer.

Which has more salary, CS or AI?

Data Science and Machine Learning roles in AI generally have higher salaries than traditional computer science positions due to specialized skills in deep learning, neural networks, and advanced algorithms. AI roles often require expertise in programming languages like Python and frameworks such as TensorFlow, which are highly valued in the job market. Salaries vary by experience, location, and industry, but AI-focused positions tend to offer higher compensation on average.

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

To thrive as a Data Science Machine Learning professional, you need a strong background in statistics, programming (usually Python or R), and a solid understanding of machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools like TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications such as AWS Certified Machine Learning, are typically valuable. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These skills enable professionals to develop robust models, extract actionable insights, and drive data-driven decision-making in organizations.

What engineers make $500,000?

Senior data science and machine learning engineers with extensive experience, advanced skills in programming, statistical analysis, and deep learning, and often working in high-demand industries or at large tech companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at executive or specialized levels.

What are some common challenges faced when deploying machine learning models as a Data Science Machine Learning professional?

A frequent challenge in this role is bridging the gap between building accurate models in a controlled environment and deploying them effectively in production systems. Issues such as data drift, model performance degradation, and integration with existing IT infrastructure often arise. Collaboration with engineering and IT teams is crucial to ensure models are scalable, maintainable, and secure. Regular monitoring and updating of deployed models are also essential responsibilities to sustain their value to the business.

What is the difference between Data Science Machine Learning vs Data Analyst?

AspectData Science Machine LearningData Analyst
Required SkillsProgramming (Python, R), statistics, machine learning algorithmsData visualization, SQL, basic statistics
Work EnvironmentDeveloping models, coding, experimenting with algorithmsData reporting, dashboard creation, data cleaning
Industry UsageTech, finance, healthcare, where predictive models are neededBusiness intelligence, marketing, operations

Data Science Machine Learning professionals focus on building predictive models and algorithms using programming and advanced statistics, often working on complex projects. Data Analysts primarily interpret data through visualization and reporting to support business decisions. While both roles require data skills, Data Science Machine Learning involves more technical programming and modeling, whereas Data Analysts focus on data interpretation and presentation.

Do data scientists work with machine learning?

Data scientists often work with machine learning as a core part of their role, developing models to analyze data and make predictions. They use tools like Python, R, and libraries such as scikit-learn or TensorFlow to build and deploy machine learning algorithms. Knowledge of statistics, programming, and data manipulation is essential for this work.

What is data science machine learning?

Data science machine learning refers to the use of algorithms and statistical models to analyze and draw insights from complex data sets. In this field, professionals use machine learning techniques to build predictive models, automate decision-making processes, and uncover patterns in data. Machine learning is a core component of data science, enabling systems to improve their performance over time without being explicitly programmed. Data scientists with machine learning expertise are in high demand across industries like healthcare, finance, and technology.

Which 3 jobs will survive AI?

Data science and machine learning roles are expected to persist as they require complex problem-solving, domain expertise, and creativity that AI tools currently cannot fully replicate. Jobs involving strategic decision-making, ethical considerations, and interpersonal skills, such as data analysts, AI ethics specialists, and AI system trainers, are also likely to remain in demand. Continuous learning and proficiency with AI tools will be essential for these roles to adapt and thrive.
Data Science Machine Learning jobs near you
Infographic showing various Data Science Machine Learning job openings in Pennsylvania as of June 2026, with employment types broken down into 56% Full Time, 42% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $123,033 per year, or $59.2 per hour.
Data Scientist

Data Scientist

RELX Group plc

Philadelphia, PA • On-site

$103K - $173K/yr

Full-time

Posted 18 days ago

Key responsibilities

  • Design, develop, and deploy AI and machine learning solutions that power knowledge discovery across scientific information.

  • Build and evaluate intelligent systems for retrieval, search, recommendation, ranking, and question-answering over scientific content.

  • Collaborate with cross-functional teams to transform ambiguous challenges into practical AI solutions for scientific discovery.

Job description

Data Scientist
Build AI That Accelerates Scientific Discovery
Do you want your work to help researchers solve humanity's biggest challenges?
At Elsevier, data science is not about building models for the sake of building models. It is about advancing scientific discovery, improving healthcare outcomes, and helping researchers, clinicians, educators, and institutions unlock knowledge that can improve lives around the world.
Every day, millions of scientists rely on our products to discover evidence, connect ideas, validate findings, and advance research. As a Data Scientist, your work will directly contribute to the tools and technologies that help accelerate human progress.
About the Team
As part of a growing team of Data Scientists, you will take on some of the hardest problems in science. This team is building intelligent systems that can reason across scientific publications, research data, knowledge graphs, ontologies, metadata, taxonomies, citations, and content spanning every scientific discipline.
About the Role
As a Data Scientist at Elsevier, you will design, develop, and deploy AI and machine learning solutions that power knowledge discovery across the global research ecosystem. You will work with one of the world's richest collections of scientific information, including publications, citations, research datasets, metadata, ontologies, knowledge graphs, and multidisciplinary content spanning every scientific field.
This role combines cutting-edge AI with meaningful impact. You will help build intelligent systems that make scientific knowledge more discoverable, trustworthy, connected, and actionable.
What You'll Do
  • Design and deploy machine learning, NLP, and generative AI solutions that help researchers discover, understand, and apply scientific knowledge.
  • Build intelligent retrieval, search, recommendation, ranking, and question-answering systems that improve research outcomes.
  • Develop AI systems that connect information across publications, datasets, citations, knowledge graphs, and scientific ontologies.
  • Fine-tune, evaluate, and integrate large language models and retrieval-augmented generation (RAG) systems into production environments.
  • Create robust evaluation frameworks that measure quality, reliability, relevance, trustworthiness, and user impact.
  • Build scalable data pipelines and machine learning workflows that support experimentation, monitoring, and continuous improvement.
  • Apply the appropriate combination of classical machine learning, deep learning, retrieval, and generative AI techniques to solve complex scientific problems.
  • Collaborate with engineering, product, UX, analytics, and domain experts to transform ambiguous challenges into practical solutions.
  • Contribute clean, maintainable, production-quality Python code and reusable AI components.
  • Continuously improve the capabilities, performance, and real-world value of AI systems that support scientific discovery.

What We're Looking For
  • Degree in Data Science, Machine Learning, Artificial Intelligence, Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline.
  • Extensive Python programming skills and experience building production-quality data science solutions.
  • Experience with machine learning fundamentals, including model development, evaluation, feature engineering, and performance optimization.
  • Experience working with large-scale structured, semi-structured, or unstructured datasets.
  • Hands-on experience with modern AI technologies, including large language models, embeddings, retrieval systems, and generative AI.
  • Familiarity with frameworks such as Scikit-learn, PyTorch, TensorFlow, Hugging Face, or equivalent tools.
  • Experience evaluating AI outputs and improving model quality, reliability, and business impact.
  • Ability to translate complex problems into measurable, data-driven solutions.
  • A genuine passion for advancing science, improving access to knowledge, and using AI to create meaningful real-world impact.

Why Join Elsevier
Because your work will matter.
You will help build AI systems that support researchers, healthcare professionals, educators, and institutions around the world. Your contributions will help people discover critical evidence, uncover new insights, accelerate innovation, and advance scientific progress. This is an opportunity to work on some of the most challenging and meaningful AI problems anywhere-combining world-class data, cutting-edge technology, and a mission dedicated to improving lives through science and knowledge.
U.S. National Base Pay Range: $86,600 - $144,400. Geographic differentials may apply in some locations to better reflect local market rates.If performed in Maryland, the base pay range is $90,900 - $151,700.If performed in New York, the base pay range is $95,300 - $158,900.If performed in New York City, the base pay range is $103,900 - $173,300.If performed in Rochester, NY, the base pay range is $86,600 - $144,400.If performed in New Jersey, the base pay range is $102,333 - $163,467.This job is eligible for an annual incentive bonus.
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