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Senior Data Scientist Machine Learning Jobs in Pennsylvania

Brooksource

Lead Data Scientist

Philadelphia, PA · On-site

$163K - $173K/yr

Senior Data Scientist Philadelphia, PA Hybrid Role Compensation: $163,000 - $173,000 We are seeking ... You will be instrumental in driving the scientific rigor of our machine learning projects, from ...

PECO

Sr Data Scientist

Philadelphia, PA · On-site

The Sr Data Scientist will apply the scientific method to extract knowledge and insights from ... Strong knowledge in at least two of the following areas: machine learning, artificial intelligence ...

URBN

URBN Senior Data Scientist

Philadelphia, PA

As Senior Data Scientist, you will play a pivotal role in building and orchestrating image and ... The ideal candidate combines a solid machine learning foundation with hands-on experience in the ...

URBN

URBN Senior Data Scientist

Philadelphia, PA · On-site

As Senior Data Scientist, you will play a pivotal role in building and orchestrating image and ... The ideal candidate combines a solid machine learning foundation with hands-on experience in the ...

Geisinger Health

Data Scientist Senior

Danville, PA · On-site +1

The Senior Data Scientist is a strategic leader in our organization, driving the entire lifecycle ... Leveraging your deep expertise and mastery of machine learning, you will spearhead the development ...

Geisinger Health

AI Data Scientist Senior

Danville, PA · On-site +1

The Senior Data Scientist is a strategic leader in our organization, driving the entire lifecycle ... Leveraging your deep expertise and mastery of machine learning, you will spearhead the development ...

Nuuly

Nuuly Senior Data Scientist

Philadelphia, PA · On-site

Role Summary Nuuly is seeking a Senior Data Scientist to join the analytics team and help bring ... science & machine learning approaches. You enjoy acting as a technical mentor to analysts ...

acunor

Data Scientist - TIme Series

Philadelphia, PA · Hybrid

Senior Data Scientist - Econometrics & Time Series Location: Philadelphia, PA (Hybrid - 2-3 Days ... Experience with machine learning models and predictive analytics * Knowledge of feature engineering ...

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Senior Data Scientist Machine Learning information

See Pennsylvania salary details

$90.4K

$123.2K

$144.9K

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

As of May 28, 2026, the average yearly pay for senior data scientist machine learning in Pennsylvania is $123,231.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,621.00 and $136,314.00 per year, depending on experience, location, and employer.

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

To thrive as a Senior Data Scientist in Machine Learning, you need advanced expertise in statistics, programming (Python or R), and machine learning algorithms, typically backed by a relevant degree (such as in computer science or mathematics) and several years of experience. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and cloud platforms (AWS, GCP, or Azure), as well as experience with big data technologies, is essential. Strong problem-solving, communication, and project leadership skills help drive impactful solutions and foster collaboration across teams. These skills ensure the successful design, deployment, and scaling of machine learning models that deliver business value.

How does a Senior Data Scientist specializing in Machine Learning typically collaborate with cross-functional teams?

Senior Data Scientists in Machine Learning often work closely with product managers, software engineers, and business analysts to understand project goals and translate them into actionable data solutions. They are responsible for communicating complex technical concepts to non-technical stakeholders, ensuring that ML models align with business objectives. Collaboration frequently involves participating in regular strategy meetings, reviewing data pipelines with engineering teams, and providing insights that guide product development. This cross-disciplinary teamwork is essential for successfully deploying machine learning models into production environments.

What does a Senior Data Scientist specializing in Machine Learning do?

A Senior Data Scientist in Machine Learning leads the development, implementation, and optimization of advanced statistical and machine learning models to solve business problems. They analyze large, complex datasets, design predictive algorithms, and collaborate with cross-functional teams to integrate models into production systems. Additionally, they mentor junior data scientists, contribute to setting technical strategy, and often communicate findings to stakeholders to drive data-driven decision-making.

What is the difference between Senior Data Scientist Machine Learning vs Data Scientist?

AspectSenior Data Scientist Machine LearningData Scientist
Required CredentialsMaster's or PhD in CS, Statistics, or related field; experience with ML frameworksBachelor's or Master's in relevant field; foundational knowledge of data analysis
Work EnvironmentAdvanced analytics teams, R&D, product developmentData analysis teams, business intelligence, reporting
Employer & Industry UsageTech companies, finance, healthcare, e-commerceSimilar industries, often entry to mid-level roles

The main difference is that Senior Data Scientist Machine Learning roles require more experience, advanced skills in ML frameworks, and often involve leading projects. Data Scientists typically focus on data analysis and reporting with less emphasis on complex ML models. Senior roles also tend to involve mentorship and strategic input.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Pennsylvania? The most popular types of Data Scientist Machine Learning jobs in Pennsylvania are:
What are popular job titles related to Senior Data Scientist Machine Learning jobs in Pennsylvania? For Senior Data Scientist Machine Learning jobs in Pennsylvania, the most frequently searched job titles are:
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Senior Data Scientist Machine Learning jobs near you

Senior Data Scientist

Perpay - Career's Page

Philadelphia, PA

Other

Posted 14 days ago

Job description

About the Role:

As a Senior Data Scientist at Perpay, you will be a critical player in the day-to-day success of the business, supporting new and existing product initiatives through strong analytical skills and machine learning expertise. In addition, you will be responsible for helping shape the future of the data science team by developing processes and systems that scale with our rapidly growing business. This is an exciting opportunity to make a positive impact on the execution of Perpay's mission and the lives of our customers. We are looking for someone who is passionate about all aspects of data science: from machine learning and exploratory data analysis to communication of results and real-time deployments. This crucial role will sit on our data science team and report to the Data Science Manager. If you're looking for a collaborative team that you can bounce ideas off of and learn from, this is where you belong. We are about being curious, setting the standard and building good habits at Perpay.

Our greatest strength is our people and we'd love for you to be one of them!

Responsibilities:
  • Drive the end-to-end completion of data science initiatives, collaborating with stakeholders from ideation through execution, ensuring projects deliver strong impact to our customer's financial lives and the health of the business
  • Proactively identify opportunities for the data science team to improve and expand Perpay's business model using techniques from exploratory data analysis to machine learning models, leveraging subject matter expertise of Perpay's business model
  • Support the growth of the business by delivering scalable models and algorithms while maintaining and troubleshooting existing resources
  • Deploy and maintain real-time model inference resources and infrastructure
  • Deploy and maintain machine learning pipelines including batch processing and continuous training architecture
  • Contribute to the cross-discipline adoption and responsible use of AI/LLM models and services at Perpay 
  • Present results and analyses to the a wide range of audiences: from Perpay's leadership team to non-technical peers
  • Contribute to defining standards and best practices concerning workflow and adoption of new technologies within the Data Science team
  • Act as an informal mentor peers
What You'll Bring:
  • 5+ years of experience* and expertise applying machine learning techniques in industry
  • 5+ years of experience* and expertise in producing data analysis, exploratory data analysis and data visualization in industry
  • 5+ years of experience* and expertise in developing, deploying, maintaining real-time software (e.g. models exposed as APIs)
  • 5+ years of experience* and expertise in Cloud compute infrastructure and best practices, including familiarity with tools such as terraform and Cloud Formation
  • Bachelor's degree or higher in a quantitative/technical field (Mathematics, Statistics, Engineering, Chemistry, Physics)
  • Excellent communication skills, across a range of audiences from technical to non-technical
  • Strong business acumen, demonstrated through subject matter expertise in at least one industry
  • Capable of managing projects "end to end" including managing project scope, timelines and workloads
  • Advanced proficiency in Python and standard data science stack (e.g. scikit-learn, pandas, numpy, matplotlib, etc.)
  • Team player: willingness and ability to establish strong working relationships not just within the data science team itself, but across the organization

*Internships not included

Nice to have:
  • Expertise in multiple advanced machine learning methodologies: e.g. deep learning, probabilistic programming, mathematical optimization, etc.
  • Deep familiarity in multiple advanced machine learning frameworks: e.g. tensorflow, pytorch, pymc, etc.
  • Experience with scalable compute frameworks such as Spark or Polars
  • Experience with deployment frameworks such as Kubernetes

Apply