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Senior Data Scientist Machine Learning Jobs in Pennsylvania

Chubb

Senior Data Scientist

Philadelphia, PA

$111K - $188.90K/yr

... machine learning, and statistical techniques to build, evaluate, and implement models. Our team ... This role will work closely with data science teams to develop ML models and engage with ...

TeleTracking

Machine Learning Engineer III

Pittsburgh, PA · On-site

$111.20K - $133.50K/yr

They are seeking a Senior Machine Learning Engineer to develop and optimize machine learning models ... data scientists, software engineers, clinicians, hospital administrators, and experts in ...

WebstaurantStore

Sr Data Scientist

Lititz, PA · On-site +1

Demonstrable portfolio (git repos, kaggle competitions, etc) of machine learning projects. * You have proven ability as a full stack data scientist who develops, experiments, optimizes, and scales ...

TENDO

Senior Data Engineer

Philadelphia, PA · On-site

$117.30K - $158.70K/yr

Senior Data Engineer As a Senior Data Engineer, you will work within the Engineering team and ... You will collaborate with Tendo's Data Scientists, Product Managers, and Machine Learning Engineers ...

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 ...

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 ...

RELX

Data Scientist III

Philadelphia, PA · On-site +1

$110.49K - $115.60K/yr

Support our Data Sciences team within Health Content Operations and work with the Clinical ... NLP, machine learning, deep learning, and statistical methods. Compare and recommend the use of ...

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Senior Data Scientist Machine Learning information

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$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:
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Senior Data Scientist Machine Learning jobs near you
Senior Data Scientist - Investment Management Fintech Strategies (IMFS)

Senior Data Scientist - Investment Management Fintech Strategies (IMFS)

Vangard, Inc.

Malvern, PA

Full-time

Posted 20 days ago

Job description

Senior Data Scientist - Investment Management Fintech Strategies (IMFS)

Investment Management Fintech Strategies (IMFS) is a global team headquartered in Malvern, Pennsylvania. We partner with investment teams to explore and apply new technologies that can improve investment performance, strengthen decision-making, and help capital markets work better for Vanguard's investors. Our work spans advanced analytics and AI/ML, new data sources, market structure and liquidity research, and building scalable platforms and tools that move from experimentation into production.

Responsibilities:

  • Own end-to-end research using large-scale historical data: form hypotheses, run analyses, develop models, and translate results into insights that can improve portfolio construction and trading decisions.
  • Identify and solve market-impact problems across microstructure, fund flows, and liquidity dynamics-surfacing risks and opportunities tied to execution quality and market impact.
  • Design and lead the evolution of core research tooling, including the back-testing framework and signal libraries, to enable repeatable, high-quality experimentation.
  • Apply AI/ML thoughtfully in financial markets, staying current on emerging techniques and evaluating what is practical, robust, and scalable in real-world market environments.
  • Raise the bar on engineering quality by mentoring quant strategists and data scientists on production-grade code, data pipelines, and research-to-production best practices.
  • Partner with technology to integrate models into production systems, monitor live performance, and iterate based on market feedback and measured outcomes.
  • Represent Vanguard externally by contributing to industry discussions and thought leadership in areas relevant to AI/ML, systematic research, trading, and market structure.

Qualifications:

  • 5+ years leading or driving advanced data science work, including back-testing, simulation, and statistical modeling in complex problem spaces.
  • Master's or PhD in machine learning, data science, financial engineering, computer science, or related quantitative discipline.
  • Strong end-to-end data science capability: problem framing research design modeling validation deployment partnership.
  • Proficiency in Python and common ML libraries; experience collaborating with data engineering and bringing models into production.
  • Demonstrated ability to apply AI/ML to solve complex technical problems through collaboration, creativity, and disciplined research.
  • Comfortable partnering with senior leaders-communicating tradeoffs, impact, and value in a clear, decision-oriented way.

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

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