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Applied Math Jobs in New Jersey (NOW HIRING)

Relativity

Principal Applied Scientist

Newark, NJ · On-site +1

D. in Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline, or equivalent professional experience * Proven ability to move quickly from prototype to production ...

Irvington Public Schools

Math Teacher

Irvington, NJ · On-site

$47K - $62K/yr

Math Teacher High School Location: Rita L. Owens STEAM Academy Qualifications: Appropriate NJ ... If you have previously applied to the Irvington School District using our Applitrack system, please ...

Tata Consultancy Services

Agentic AI Engineer

Edison, NJ · On-site

$116K - $139K/yr

... Applied Math, or related field. • Strong Python programming skills (experience with libraries such as NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch). • Academic or internship experience in ...

Compunnel

Applied AI Researcher

Jersey City, NJ · On-site

Key Responsibilities • Conduct applied research in LLMs, GenAI, NLP, information retrieval ... mathematics, or related field. • Strong foundation in machine learning, deep learning, NLP ...

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All JobsApplied Math JobsApplied Math Jobs in New Jersey

Applied Math information

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$22.8K

$59.7K

$95.9K

How much do applied math jobs pay per year?

As of Jul 13, 2026, the average yearly pay for applied math in New Jersey is $59,734.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,700.00 and $71,100.00 per year, depending on experience, location, and employer.

What are the highest paying jobs in applied mathematics?

High-paying jobs in applied mathematics include roles such as quantitative analyst, data scientist, operations research analyst, and financial engineer, often requiring strong programming skills and advanced degrees. These positions typically offer salaries exceeding $100,000 annually, especially in finance, technology, and consulting industries.

Is applied math a useful degree?

Applied math is a useful degree for careers in data analysis, finance, engineering, and research, as it develops skills in problem-solving, modeling, and quantitative analysis. Graduates often work with tools like programming languages and statistical software, and the degree provides a strong foundation for various technical roles.

What jobs can you get with an applied maths degree?

Applied mathematics graduates can pursue 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 or modeling tools in various industries like finance, technology, or healthcare.

What are applied math careers?

Applied math careers involve using mathematical methods and models to solve real-world problems across industries such as finance, engineering, data analysis, and technology. Professionals in this field often work with programming tools, statistical software, and data analysis techniques to develop solutions and support decision-making.

What are applied mathematicians?

Applied mathematicians are professionals who use mathematical theories, techniques, and computational methods to solve practical problems in fields such as engineering, science, business, and industry. They often develop models to analyze real-world phenomena, optimize processes, and predict outcomes. Applied mathematicians may work in diverse areas like data analysis, operations research, finance, and computer science, collaborating with experts from other disciplines to address complex challenges.

What is the difference between Applied Math vs Data Analyst?

AspectApplied MathData Analyst
Required CredentialsBachelor's or higher in Mathematics, Applied Math, or related fieldsBachelor's or higher in Statistics, Data Science, or related fields
Work EnvironmentResearch labs, academia, finance, engineeringBusiness, finance, healthcare, marketing
Industry UsageModeling, simulations, algorithm developmentData interpretation, reporting, visualization
Common Search/ComparisonApplied Math vs Data Analyst

Applied Math and Data Analysts often share skills in statistical analysis and problem-solving. However, Applied Math focuses more on developing mathematical models and algorithms, while Data Analysts primarily interpret and visualize data to inform business decisions. Both roles are vital across industries, but their daily tasks and focus areas differ significantly.

What are some typical projects or problems an applied mathematician may work on within a multidisciplinary team?

Applied mathematicians often collaborate with experts from fields such as engineering, computer science, and finance to tackle real-world challenges. For example, they might develop algorithms for optimizing logistics and supply chains, create mathematical models to predict disease spread in healthcare, or analyze large data sets to inform business strategies. This collaboration typically involves regular meetings, data sharing, and iterative problem solving, making strong communication skills and adaptability essential for success in the role.

What are the key skills and qualifications needed to thrive as an Applied Mathematician, and why are they important?

To thrive as an Applied Mathematician, you need strong mathematical modeling, analytical, and problem-solving skills, usually supported by a degree in mathematics, applied mathematics, or a related field. Familiarity with programming languages (such as Python, MATLAB, or R), statistical software, and computational tools is typically required. Excellent communication, teamwork, and critical thinking abilities help translate complex mathematical concepts for diverse audiences and collaborative projects. These skills are vital for developing solutions to real-world problems across industries, ensuring accuracy, innovation, and practical impact.
What are popular job titles related to Applied Math jobs in New Jersey? For Applied Math jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Applied Math jobs in New Jersey look for? The top searched job categories for Applied Math jobs in New Jersey are:
What cities in New Jersey are hiring for Applied Math jobs? Cities in New Jersey with the most Applied Math job openings:
Applied Math jobs near you
Applied AI/ML & Causal Inference - Senior Associate

Applied AI/ML & Causal Inference - Senior Associate

JP Morgan Chase

Jersey City, NJ

Full-time

Medical, Retirement

Posted 14 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 491 frontline employees who took The Breakroom Quiz

58th of 149 rated banks

Job description

As a Senior Applied AI/ML Associate within the Global Private Bank, you will own the full lifecycle of high-impact causal and predictive models serving clients across wealth management, deposit, lending, and advisory - from problem framing with business stakeholders through production deployment at scale. You will tackle some of the most data-rich, complex client problems in financial services, where rigorous causal reasoning - not just predictive accuracy - drives the decisions that matter.

Job Responsibilities

  • Frame ambiguous client and operational questions as causal problems - distinguishing prediction from intervention, identifying confounders, and designing the right estimand with Private Bank business leads.

  • Design, build, and deploy end-to-end ML and causal inference solutions: uplift and heterogeneous treatment effect models, observational causal studies (DiD, IV, RDD, synthetic controls, doubly robust estimation), experimentation, and classical/generative ML where appropriate.

  • Own model quality, identification assumptions, sensitivity analysis, evaluation frameworks, monitoring, and post-deployment iteration.

  • Drive productionization and MLOps practices in collaboration with engineering across distributed data infrastructure.

  • Track applied research in causal ML, double machine learning, and agentic/LLM systems; translate promising work into production-ready solutions.

  • Partner with the broader JPMorganChase AI/ML community, model risk, compliance, and peer LOBs to align on standards and amplify firm-wide impact.

Required Qualifications, Capabilities, and Skills

  • Master's and 2+ years of hands on Machine Learning experience or fresh PhD grads in Computer Science, Statistics, Economics, Applied Math, Data Science, or a related quantitative field.

  • Deep expertise in causal inference methods: potential outcomes framework, propensity score methods, instrumental variables, difference-in-differences, regression discontinuity, synthetic controls, doubly robust and double/debiased ML estimators, and uplift / heterogeneous treatment effect modeling.

  • Demonstrated experience designing and analyzing experiments (A/B tests, switchback, quasi-experiments) and reasoning carefully from observational data when experimentation is infeasible.

  • Hands-on experience with LLMs and agentic AI - fine-tuning, RAG pipelines, prompt engineering, and the design and deployment of multi-step / tool-using agents in production.

  • Strong Python skills; proficiency with causal libraries (DoWhy, EconML, CausalML) alongside PyTorch, scikit-learn, and modern LLM/agent frameworks.

  • Experience with large-scale data processing: Spark, Hive, SQL.

  • Proven ability to communicate causal assumptions, limitations, and findings to non-technical stakeholders.

Preferred Qualifications, Capabilities, and Skills

  • Financial services experience - wealth management, lending, or advisory.

  • Bayesian and hierarchical modeling; structural causal models; sequential decision-making / contextual bandits.

  • Experience applying causal reasoning to LLM and agent evaluation - counterfactual eval, off-policy estimation, or treatment-effect framing of agent interventions.

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

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