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Temporary Data Scientist Machine Learning Jobs in Philadelphia, PA

RELX Group plc

Data Scientist

Philadelphia, PA · 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 ...

Elsevier

Data Scientist

Philadelphia, PA · 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 ...

RELX

Data Scientist

Philadelphia, PA · 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 ...

Elsevier

Data Scientist

Philadelphia, PA · 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 ...

Vangard, Inc.

Data Scientist, Specialist

Malvern, PA · On-site

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 ...

Elsevier

Senior Data Scientist

Philadelphia, PA

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 ...

Elsevier

Senior Data Scientist

Philadelphia, PA · On-site

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 ...

RELX Group plc

Senior Data Scientist

Philadelphia, PA · On-site

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 ...

RELX

Senior Data Scientist

Philadelphia, PA

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 ...

Soni Resources

Data Scientist

Conshohocken, PA · On-site +1

$175K/yr

Data Scientist (Data Science + Data Engineering) Location: Remote (Preference for Northeast/Mid ... Develop predictive models, scoring frameworks, and machine learning solutions that enhance business ...

Vanguard

Data Scientist, Specialist

Malvern, PA

As a Senior Data Scientist, you will lead the development of the next generation AI/ML solutions ... Leveraging state-of-the-art AI capabilities in machine learning, advanced analytics and generative ...

USCS

Data Scientist II

Camden, NJ · On-site

$100K - $120K/yr

Data Scientist II Build the intelligence that optimizes the movement of food at national scale Who ... You will solve problems using statistical methods, machine learning, and AI. You will help the ...

United States Cold Storage

Data Scientist II

Camden, NJ · On-site

$100K - $120K/yr

Data Scientist II Build the intelligence that optimizes the movement of food at national scale Who ... You will solve problems using statistical methods, machine learning, and AI. You will help the ...

Nuuly

Nuuly Lead Data Scientist

Philadelphia, PA

Manage machine learning and statistical models to address various business needs * Demonstrate ... Collaborate within data science and analytics organizations and communicate across multiple ...

Nuuly

Nuuly Lead Data Scientist

Philadelphia, PA · On-site

Manage machine learning and statistical models to address various business needs * Demonstrate ... Collaborate within data science and analytics organizations and communicate across multiple ...

Cadent

Lead Data Scientist

Philadelphia, PA · On-site

$150K - $175K/yr

M.S. or higher in computer science, mathematics, operations research, statistics or related discipline with a focus on machine learning; or the equivalent of 6-7 years' experience in a Data Science ...

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All JobsData Scientist Machine Learning JobsTemporary Data Scientist Machine Learning JobsTemporary Data Scientist Machine Learning Jobs in Philadelphia, PA

Temporary Data Scientist Machine Learning information

See Philadelphia, PA salary details

$37.8K

$123.9K

$198.3K

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

As of Aug 8, 2026, the average yearly pay for temporary 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 is the difference between Temporary Data Scientist Machine Learning vs Temporary Data Analyst?

AspectTemporary Data Scientist Machine LearningTemporary Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related fields; knowledge of ML algorithmsBachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentProject-based, collaborative teams, tech-focused companiesBusiness units, reporting teams, data-driven departments
Employer & Industry UsageTech firms, finance, healthcare, e-commerceRetail, marketing, finance, consulting

Temporary Data Scientist Machine Learning roles focus on developing and deploying machine learning models, requiring advanced analytics skills. Temporary Data Analysts primarily interpret data, generate reports, and support decision-making. While both roles involve data handling, Data Scientists with ML expertise work on predictive modeling, whereas Data Analysts focus on descriptive analytics. The choice depends on the project needs and skill requirements.

What does a temporary data scientist specializing in machine learning do?

A Temporary Data Scientist specializing in Machine Learning is responsible for designing, building, and deploying machine learning models to analyze data and generate insights, but works on a contract or short-term basis. Their duties often include data preprocessing, model selection and validation, and communicating results to stakeholders. They may also be tasked with automating processes, cleaning large datasets, and collaborating with other teams to implement solutions. The temporary nature of the job means they often focus on specific projects or provide support during peak periods.

What are the key skills and qualifications needed to thrive as a temporary data scientist specializing in machine learning?

To thrive as a Temporary Data Scientist Machine Learning, you generally need a strong background in statistics, programming (Python or R), and experience with machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn, TensorFlow, or PyTorch), and version control systems (e.g., Git) is typically required. Strong problem-solving abilities, adaptability, and effective communication are crucial soft skills for collaborating with teams and translating technical findings to stakeholders. These skills ensure that temporary data scientists can quickly contribute actionable insights, drive data-driven decisions, and add value within a limited time frame.

What are some typical projects or tasks a temporary data scientist specializing in machine learning might work on?

As a temporary Data Scientist focusing on machine learning, you can expect to work on short-term, high-impact projects such as building predictive models, cleaning and preparing data, or developing automated analytics solutions. You may be brought in to support ongoing initiatives, provide expertise for a specific project phase, or help accelerate a backlog of tasks. Collaboration is common, and you'll likely work closely with data engineers, business analysts, and domain experts to understand requirements and deliver actionable insights within tight deadlines. This role offers exposure to diverse datasets and tools, and is an excellent opportunity to rapidly expand your experience and network.
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:
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Temporary Data Scientist Machine Learning jobs near you

Data Scientist

RELX Group plc

Philadelphia, PA • On-site

$103K - $173K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

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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