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Entry Level Data Scientist Machine Learning Jobs in Philadelphia, PA

Data Scientist

Philadelphia, PA ยท On-site

$103K - $173K/yr

Data Scientist Build AI That Accelerates Scientific Discovery Do you want your work to help ... Design and deploy machine learning, NLP, and generative AI solutions that help researchers discover ...

Data Scientist Build AI That Accelerates Scientific Discovery Do you want your work to help ... Design and deploy machine learning, NLP, and generative AI solutions that help researchers discover ...

Data Scientist

Philadelphia, PA ยท On-site

$103K - $173K/yr

Data Scientist Build AI That Accelerates Scientific Discovery Do you want your work to help ... Design and deploy machine learning, NLP, and generative AI solutions that help researchers discover ...

Data Scientist Build AI That Accelerates Scientific Discovery Do you want your work to help ... Design and deploy machine learning, NLP, and generative AI solutions that help researchers discover ...

As a Data Scientist, you will join a highly collaborative team of data scientist, AI engineer, and ... You will develop innovative AI and machine learning solutions that enable smarter decision making ...

Senior Data Scientist AI for Science, Research Intelligence & Knowledge Discovery Build AI That ... Design, develop, and deploy advanced machine learning, NLP, retrieval, and generative AI solutions ...

Senior Data Scientist AI for Science, Research Intelligence & Knowledge Discovery Build AI That ... Design, develop, and deploy advanced machine learning, NLP, retrieval, and generative AI solutions ...

Senior Data Scientist AI for Science, Research Intelligence & Knowledge Discovery Build AI That ... Design, develop, and deploy advanced machine learning, NLP, retrieval, and generative AI solutions ...

Senior Data Scientist AI for Science, Research Intelligence & Knowledge Discovery Build AI That ... Design, develop, and deploy advanced machine learning, NLP, retrieval, and generative AI solutions ...

Lead Data Scientist

Chadds Ford, PA ยท On-site +1

$138K - $272K/yr

Advanced machine learning modeling and/or technical expertise in developing market differentiation data science products. * Experience in bank card/credit card business, consulting, retail, marketing ...

Data Scientist 2 - Virtual

PA ยท On-site +1

$66K/mo

Job Summary The Data Scientist 2 is an independent contributor who develops and applies statistical ... Build and validate machine learning, statistical, and optimization models for business use cases.

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Showing results 1-20

Entry Level Data Scientist Machine Learning information

See Philadelphia, PA salary details

$37.8K

$123.9K

$198.3K

How much do entry level data scientist machine learning jobs pay per year?

As of Jul 29, 2026, the average yearly pay for entry level data scientist machine learning in Philadelphia, PA is $123,854.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $137,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Data Scientist in Machine Learning, and why are they important?

To thrive as an Entry Level Data Scientist in Machine Learning, you need a solid background in statistics, programming (Python or R), and foundational machine learning concepts, typically supported by a relevant degree in computer science, data science, or a related field. Familiarity with tools and libraries such as scikit-learn, TensorFlow, Pandas, and SQL, as well as experience with data visualization platforms, is highly valuable. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings clearly set candidates apart. These skills are essential for effectively analyzing data, building predictive models, and translating complex results into actionable business insights.

What are entry level data scientist machine learning jobs?

Entry level data scientist machine learning jobs are positions for individuals who are new to the field of data science and machine learning. These roles typically focus on working with data, building and testing machine learning models, and supporting more experienced data scientists. Entry level professionals may clean and analyze data, implement basic algorithms, and help interpret results to inform business decisions. These jobs often require proficiency in programming languages like Python or R, foundational knowledge of statistics, and some experience with machine learning libraries.

What are some common challenges faced by entry-level data scientists working with machine learning models?

Entry-level data scientists often encounter challenges such as cleaning and preparing messy or incomplete datasets, selecting appropriate algorithms for specific problems, and tuning model parameters to achieve optimal performance. In addition, they may need to clearly communicate technical findings to non-technical stakeholders and collaborate closely with team members from engineering, product, and business departments. Gaining experience in version control, reproducibility, and model deployment are also important steps in mastering the end-to-end machine learning workflow.
What are the most commonly searched types of Data Scientist Machine Learning jobs in Philadelphia, PA? The most popular types of Data Scientist Machine Learning jobs in Philadelphia, PA are:
What are popular job titles related to Entry Level Data Scientist Machine Learning jobs in Philadelphia, PA? For Entry Level Data Scientist Machine Learning jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Scientist Machine Learning jobs in Philadelphia, PA look for? The top searched job categories for Entry Level Data Scientist Machine Learning jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Entry Level Data Scientist Machine Learning jobs? Cities near Philadelphia, PA with the most Entry Level Data Scientist Machine Learning job openings:
Infographic showing various Entry Level Data Scientist Machine Learning job openings in Philadelphia, PA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $123,854 per year, or $59.5 per hour.

Data Scientist

RELX Group plc

Philadelphia, PA โ€ข On-site

$103K - $173K/yr

Full-time

Re-posted 18 days ago


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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