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Applied Math Degree Jobs in Pennsylvania (NOW HIRING)

Pursuing or recently completed a degree in Computer Science, Applied Mathematics, Data Science, or a related field. * Strongfoundation in machine learning, deep learning, and natural language ...

$50/hr

Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields. * Proven knowledge and expertise in generative AI applications, including deep generative ...

$50/hr

Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields. * Proven knowledge and expertise in generative AI applications, including deep generative ...

$50/hr

Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields. * Proven knowledge and expertise in generative AI applications, including deep generative ...

$50/hr

Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields. * Proven knowledge and expertise in generative AI applications, including deep generative ...

$50/hr

Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields. * Proven knowledge and expertise in generative AI applications, including deep generative ...

$50/hr

Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields. * Proven knowledge and expertise in generative AI applications, including deep generative ...

$50/hr

Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields. * Proven knowledge and expertise in generative AI applications, including deep generative ...

$50/hr

Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields. * Proven knowledge and expertise in generative AI applications, including deep generative ...

$50/hr

Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields. * Proven knowledge and expertise in generative AI applications, including deep generative ...

Showing results 21-40

Applied Math Degree information

See Pennsylvania salary details

$22.6K

$59K

$94.7K

How much do applied math degree jobs pay per year?

As of Aug 21, 2026, the average yearly pay for applied math degree in Pennsylvania is $58,978.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,100.00 and $70,200.00 per year, depending on experience, location, and employer.

What is the difference between Applied Math Degree vs Data Analyst?

AspectApplied Math DegreeData Analyst
Required CredentialsBachelor's in Applied Math or related fieldBachelor's in Statistics, Math, or related field
Work EnvironmentResearch, academia, finance, engineeringBusiness, finance, healthcare, tech companies
Employer & Industry UsageUniversities, research labs, industries needing quantitative analysisCorporations, consulting firms, government agencies

Applied Math degrees focus on mathematical modeling and problem-solving across various industries, often involving research and theoretical work. Data Analysts primarily interpret data to help organizations make informed decisions, using statistical tools and software. While both roles require strong math skills, Applied Math graduates often pursue research or specialized roles, whereas Data Analysts work directly with data to generate insights in business settings.

Is an applied math degree useful?

An applied math degree is useful for careers in data analysis, finance, engineering, and technology, as it provides strong problem-solving, analytical, and quantitative skills. Graduates often find opportunities in industries that rely on modeling, statistical analysis, and computational tools, and the degree can lead to roles requiring programming languages like Python or MATLAB. Its versatility makes it valuable across many sectors, especially when combined with internships or certifications.

Is applied math in demand?

Applied math degrees are in demand across industries such as finance, data analysis, engineering, and technology, where skills in modeling, statistics, and programming are valued. Professionals with this background often find opportunities in research, analytics, and problem-solving roles, especially when combined with programming languages like Python or MATLAB.

What jobs do you get with applied math degree?

An applied math degree prepares individuals for roles such as data analyst, operations researcher, financial analyst, actuary, or software developer. These jobs often require strong analytical, problem-solving, and programming skills, and may involve working with statistical software, mathematical modeling, or data visualization tools.

What are popular job titles related to Applied Math Degree jobs in Pennsylvania?

For Applied Math Degree jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Applied Math Degree jobs in Pennsylvania look for?

The top searched job categories for Applied Math Degree jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Applied Math Degree jobs?

Cities in Pennsylvania with the most Applied Math Degree job openings:

Infographic showing various Applied Math Degree job openings in Pennsylvania as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $58,978 per year, or $28.4 per hour.

Head of Applied AI Research & Development

Vangard, Inc.

Malvern, PA โ€ข On-site

Full-time

Posted 20 days ago


Job description

Role Overview
The Head of Applied AI Research &Development serves as the strategic leader responsible for operationalizing advanced AI research into enterprise-ready capabilities. This leader oversees multidisciplinary teams of applied AI/ML researchers, machine learning engineers, and AI platform specialists focused on delivering scalable AI solutions that directly impact Vanguard's products, operations, and client experience.
The role combines technical leadership, product strategy, and organizational influence to accelerate AI adoption across the enterprise. Working closely with AI Research, AI Product, Engineering, Data, and business organizations, this leader establishes the frameworks, methodologies, and delivery mechanisms required to transform novel AI techniques into robust enterprise capabilities.
Success in this role requires balancing long-term innovation with near-term execution while building reusable AI platforms that continuously improve through enterprise knowledge, evolving data, and organizational learning.
Core Responsibilities

  • Define and execute Vanguard's Applied AI R&D strategy, aligning investments in applied AI, frontier research, and enterprise AI capabilities with long-term business objectives and competitive differentiation.
  • Drive innovation across frontier AI domains, including foundation models, Large World Models (LWMs), world modeling systems, agentic AI, enterprise reasoning, cognitive AI architectures, and next-generation intelligent systems.
  • Direct the development of applied AI architectures and research capabilities supporting reasoning, planning, simulation, knowledge representation, memory-aware intelligence, adaptive decision-making, and continuously evolving world-state models.
  • Establish applied AI methodologies, standards, and evaluation frameworks that ensure AI systems are secure, governed, trustworthy, scalable, and capable of continuous improvement through enterprise data, feedback loops, and organizational learning.
  • Partner with business, product, engineering, and external research organizations to accelerate adoption of AI capabilities, proof of concepts, build strategic partnerships, and translate emerging research into measurable business value.
  • Lead multidisciplinary AI research, engineering, and platform teams responsible for translating advanced research into scalable, production-grade AI systems, products, and enterprise capabilities.
  • Build and develop a world-class Applied AI organization by recruiting, mentoring, and growing high-performing talent while fostering a culture of technical excellence, experimentation, innovation, and responsible AI development.

Qualifications
- PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics, Electrical Engineering, Cognitive Science, Management Science or a related discipline.
- 7+ years of experience leading Applied AI, Machine Learning, AI Engineering, or AI Platform teams within industry or research environments.
- Proven experience delivering applied AI capabilities which are repeatable across research or industry settings
- Deep expertise in large language models, foundation models, agentic AI, machine learning systems, reinforcement learning, retrieval systems, reasoning architectures, knowledge representation, or advanced AI applications.
- Experience designing AI systems capable of contextual understanding, sequential reasoning, adaptive decision-making, memory-aware architectures, or complex workflow orchestration
- Strong understanding of modern AI development lifecycles including experimentation, evaluation, deployment, monitoring, and continuous improvement
- Experience building enterprise AI solutions, model governance processes, evaluation frameworks, and scalable ML models
- Hands-on expertise with modern ML frameworks including PyTorch, TensorFlow, Hugging Face, distributed training, and cloud AI platforms
-Demonstrated ability to lead large, multidisciplinary AI initiatives spanning research, academic, business organizations across both industry or research environments

- Exceptional executive communication skills with experience influencing senior leadership and enterprise strategy

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.