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Data Science Machine Learning Jobs in Pennsylvania

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 ...

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 ...

Portage Learning

Data Science Associate I

Beaver Falls, PA · On-site +1

$89K - $121K/yr

This role applies statistical analysis, machine learning, and data visualization to translate complex data into actionable insights. What You'll Invest In: The Data Scientist will carry out these ...

LHi Group Ltd

Senior Manager, Data Science

Calumet, PA · On-site

$210K - $230K/yr

The opportunity You'll lead an established team of data scientists working across applied machine learning, technically complex datasets and production-scale systems. This is an 80/20 player-coach ...

Sporting Kansas City

Experience working in a Data Science, Machine Learning, Applied Statistics or similar role. * Proven experience designing, validating and monitoring applied machine learning models. * Robust ...

Soni Resources

Data Scientist

Conshohocken, PA · On-site +1

$175K/yr

Qualifications Required * 3+ years of hands-on experience in Data Science, Analytics, Machine Learning, or a related quantitative field. * Proven experience developing predictive models or machine ...

SmallArc, Inc

Big Data Architect

Malvern, PA · On-site

$62.50 - $80.50/hr

Big Data Architect Hybrid - Malvern PA and Charlotte NC Must have a professional LinkedIn profile ... science, machine learning, and AI use cases. Thanks & Regards Sami Singh Sr Lead Recruiter.

Cadent

Lead Data Scientist

Philadelphia, PA · On-site

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 ...

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 ...

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 ...

Wipro Limited

Senior Data Scientist

Dallas, PA · On-site

$60K - $135K/yr

... Data Science, Machine Learning Engineer, Computer Science, Applied Mathematics, Statistics, etc.) Experience in Operations research is mandatory Python proficiency (production-grade coding ...

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Showing results 21-40

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 Sep 3, 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.

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.

What are the key skills and qualifications needed to thrive as a data science machine learning professional?

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 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.

Is data science machine learning a high paying job?

Data science and machine learning roles are generally high-paying within the tech industry due to the specialized skills required, such as programming, statistical analysis, and experience with tools like Python or TensorFlow. Salaries vary based on experience, location, and company size but tend to be above average compared to many other professions.
Data Science Machine Learning jobs near you
Infographic showing various Data Science Machine Learning 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 $123,033 per year, or $59.2 per hour.

AI Data Science Expert - Remote

YO AI Labs

Philadelphia, PA • Remote

$100 - $200/hr

Part-time

Posted 22 days ago

Job description

Job Title: AI Data Science Domain Expert

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
  • Develop, optimize, and evaluate prompts to improve AI model performance.
  • Conduct rubric-based assessments of AI outputs and provide structured feedback.
  • Perform independent research and fact-checking to validate technical information.
  • Annotate data and support quality assurance initiatives for AI training.
  • Interpret complex datasets and prepare clear technical reports and summaries.
  • Collaborate remotely with project teams to improve AI models and workflows.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical Documentation
  • Technical & Report Writing
  • Content Review & Editing
  • Data Annotation
  • Data Interpretation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
  • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
  • Strong analytical reasoning, critical thinking, and written communication skills.
  • Experience with data annotation, content review, or rubric-based evaluation is preferred.
  • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
  • Master's, MBA, PhD, or other advanced degree is preferred.