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Math Engineering Jobs in Delaware (NOW HIRING)

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Math Engineering information

See Delaware salary details

$22.5K

$58.9K

$94.6K

How much do math engineering jobs pay per year?

As of Aug 7, 2026, the average yearly pay for math engineering in Delaware is $58,888.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,000.00 and $70,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a math engineer?

To thrive as a Math Engineer, you need a strong background in applied mathematics, computational methods, and a relevant engineering discipline, usually supported by a degree in mathematics, engineering, or a related field. Proficiency in programming languages (such as MATLAB, Python, or C++), mathematical modeling software, and familiarity with simulation tools are typically required. Analytical thinking, problem-solving abilities, and effective communication skills are essential soft skills to excel in this role. These skills and qualities are crucial for accurately modeling complex systems, developing innovative solutions, and effectively collaborating with multidisciplinary teams.

What is the difference between Math Engineering vs Data Scientist?

AspectMath EngineeringData Scientist
Required CredentialsMathematics, Engineering, Computer Science degreesStatistics, Computer Science, Mathematics degrees
Work EnvironmentResearch labs, R&D departments, technical teamsBusiness settings, analytics teams, tech companies
Employer & Industry UsageTech firms, engineering companies, financeTech, finance, healthcare, marketing
Common Search & ComparisonMath Engineering vs Data Scientist

Math Engineering focuses on applying advanced mathematical techniques to develop engineering solutions, often in R&D or technical roles. Data Scientists analyze large datasets to extract insights, primarily supporting business decisions. While both roles require strong math skills, Math Engineering emphasizes engineering applications, whereas Data Science centers on data analysis and modeling.

What does a math engineer do?

A math engineer applies mathematical principles and techniques to solve complex problems in engineering, technology, and scientific fields. They develop models, algorithms, and simulations, often using programming tools like MATLAB or Python, to optimize systems and processes. Their work supports innovation in areas such as data analysis, machine learning, and product design.

How does a math engineer typically collaborate with software developers and data scientists on interdisciplinary projects?

Math Engineers often work closely with software developers and data scientists to design and implement mathematical models and algorithms. Collaboration involves translating complex mathematical concepts into practical computational solutions, validating results, and optimizing performance. Regular meetings, code reviews, and shared documentation help ensure alignment across teams, and strong communication skills are essential for explaining technical details to non-specialists. This interdisciplinary teamwork is common in industries like finance, technology, and engineering, leading to innovative solutions and continuous learning opportunities.

What is math engineering?

Math engineering is a multidisciplinary field that applies advanced mathematical theories, techniques, and computational methods to solve engineering problems. Professionals in this area use mathematics to model, analyze, and optimize systems in industries such as technology, finance, aerospace, and manufacturing. Typical tasks include developing algorithms, performing simulations, and interpreting complex data to improve processes or products. Math engineers often work closely with other engineers and scientists to design efficient solutions to real-world challenges.
What are popular job titles related to Math Engineering jobs in Delaware? For Math Engineering jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Math Engineering jobs in Delaware look for? The top searched job categories for Math Engineering jobs in Delaware are:
Infographic showing various Math Engineering job openings in Delaware 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 $58,888 per year, or $28.3 per hour.

Applied AI/ML [Multiple Positions Available]

J.P. Morgan

Wilmington, DE

$57K - $57K/yr

Full-time

Medical, Retirement

Posted 13 days ago


Job description

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

JOB DESCRIPTION

DESCRIPTION:

Duties: Develop artificial intelligence and machine learning (AI/ML)-based solutions that drive key credit decisions in the risk management process. Work on strategic, highly visible machine learning projects and interact with business strategy, model governance, data management, and model implementation teams to drive business results. Apply analytical, data science, and machine learning skills to solve complex business problems. Work across teams to design, develop, and implement analytical models. Responsible for these models throughout the model's life cycle, including data cleanup, data analysis, model selection, ongoing performance monitoring, issue resolution, and model retirement. Monitor and validate existing models to support risk strategy and business functions. Liaise with business partners to ensure alignment of the modeling team's Book of Work with the strategic direction of the business. Contribute to the asks and requirements stemming from various regulatory exams. Prepare presentations and reports for both non-technical and technical audiences including senior management, risk strategy and Model Risk Governance and Review (MRGR).

QUALIFICATIONS:

Minimum education and experience required: Master's degree in Finance, Statistics, Computer Science, Mathematics, Engineering or related field of study plus 3 years of experience in the job offered or as Applied AI/ML, Data Scientist, Postdoctoral Researcher, Postdoc Research Associate, or related occupation. The employer will alternatively accept a PhD in Finance, Statistics, Computer Science, Mathematics, Engineering or related field of study plus 1 year of experience in the job offered or as Applied AI/ML, Data Scientist, Postdoctoral Researcher, Postdoc Research Associate, or related occupation. The occupation may be gained through professional work experience, graduate work occupation experience, postdoctoral experience, or internship.

Skills Required: This position requires three (3) years of experience with the following: Applying artificial intelligence (AI) and machine learning (ML) techniques including Logistic Regression, Random Forest, and Gradient Boosting Machine to develop and implement classification and regression models on large-scale datasets; Deploying data analysis, feature-engineering, and model development workflows using Python and SAS. Experience in the skills may be gained through professional work experience, graduate work experience, postdoctoral experience, or internship. This position requires any amount of experience with the following: Utilizing Analytical and modeling methods including logistic regression, gradient boosting machine, multinomial regression, multivariate analysis, discriminant analysis, principal component analysis, factor analysis, and time series analysis; Identifying quantitative relationship embedded within data to predict target variable and inform decision-making; Utilizing Quantitative data management and analytics, including data extraction, cleaning, transformation, and visualization; Designing and developing interactive Excel and PowerPoint reports with advanced functionalities, including LOOKUP, index match, data analysis add-ons, Pivots, and Visual Basic for Applications (VBA); Performing data manipulation, structuring, design flow, and query optimization using programming languages including SQL and Python; Processing large data sets using data containers, multithreading, and multiprocessing in PySpark; Utilizing data science libraries including Pandas, Numpy, Scikit-learn, TensorFlow, Pytorch, Matplotlib and Seaborn and software engineering fundamentals including version control using GitHub and Bitbucket. Experience in the skills may be gained through professional work experience, graduate work experience, postdoctoral experience, or internship.  

Job Location: 301 N Walnut St, Wilmington, DE 19801-3935.

Full-Time.

ABOUT US

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

ABOUT THE TEAM

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.