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Data Science Research Jobs in Delaware (NOW HIRING)

Manager, Data Science Location: Wilmington, DE (Hybrid) We are seeking a Manager to join our Data ... Research and develop new modeling techniques that will keep OneMain at the forefront of the ...

The Director, Data Science - Competitive Intelligence, AI Insights & Strategic Analytics is a ... Design and implement AI-powered market intelligence and competitive research solutions that ...

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Data Science Research information

See Delaware salary details

$37.5K

$122.8K

$196.7K

How much do data science research jobs pay per year?

As of Jul 26, 2026, the average yearly pay for data science research in Delaware is $122,844.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,600.00 and $136,100.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

Data science research roles do not have strict age limits, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

How does a Data Science Researcher typically collaborate with other departments within an organization?

Data Science Researchers frequently work cross-functionally, collaborating with teams such as engineering, product management, and business analytics. They often translate complex research findings into actionable insights, guiding product development or business strategies. Regular meetings, joint project planning, and code reviews are common, ensuring that research outcomes align with organizational goals. Effective communication and teamwork are key to integrating advanced data solutions into real-world applications.

What do data science researchers do?

Data science researchers analyze large datasets to identify patterns, develop models, and generate insights that inform decision-making. They often use programming languages like Python or R, statistical methods, and machine learning techniques, working in research environments or industry settings to advance knowledge or solve complex problems.

What is the highest paid job in data science?

The highest paid roles in data science are often senior positions such as Lead Data Scientist, Chief Data Officer, or Data Science Director, with salaries exceeding $150,000 annually. These roles typically require extensive experience, advanced skills in machine learning and big data tools, and often involve strategic decision-making responsibilities.

What is the difference between Data Science Research vs Data Analyst?

AspectData Science ResearchData Analyst
CredentialsTypically requires advanced degrees (Master's or PhD) in Data Science, Statistics, or related fieldsOften requires a Bachelor's or Master's degree in Data Analysis, Statistics, or related areas
Work EnvironmentResearch labs, academic institutions, or R&D departments within companiesBusiness environments, corporate offices, or consulting firms
Employer & Industry UsageUniversities, research institutions, tech companies focusing on innovationRetail, finance, healthcare, and other industries focusing on data-driven decision making

Data Science Research focuses on developing new algorithms, models, and theories, often in academic or R&D settings. In contrast, Data Analysts primarily interpret existing data to generate reports and insights for business decisions. Both roles require strong analytical skills but differ in scope, goals, and work environment.

Is a Data Scientist in high demand?

Data Scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to remain strong in the coming years.

What are the key skills and qualifications needed to thrive as a Data Science Researcher, and why are they important?

To thrive as a Data Science Researcher, you need strong analytical skills, expertise in statistics and machine learning, and an advanced degree in a quantitative field such as computer science, mathematics, or engineering. Proficiency with programming languages like Python or R, data visualization tools, and experience using platforms such as TensorFlow or PyTorch is typically required. Curiosity, creativity, and clear communication are essential soft skills for designing research questions, interpreting results, and sharing findings with diverse audiences. These skills and qualities are crucial for driving innovative solutions and impactful insights in data-driven environments.

What is data science research?

Data science research involves using scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data. Researchers in this field work on developing new data analysis techniques, machine learning models, and data-driven solutions to solve complex problems. The work often includes designing experiments, analyzing large datasets, and publishing findings to advance the understanding of data science methodologies.
What are the most commonly searched types of Data Science Research jobs in Delaware? The most popular types of Data Science Research jobs in Delaware are:
What are popular job titles related to Data Science Research jobs in Delaware? For Data Science Research jobs in Delaware, the most frequently searched job titles are:
Infographic showing various Data Science Research job openings in Delaware as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $122,844 per year, or $59.1 per hour.
Quant Analytics Associate - Card Data Anaytics

Quant Analytics Associate - Card Data Anaytics

JPMorgan Chase & Co

Wilmington, DE • On-site

$57K - $57K/yr

Full-time

Medical, Retirement

Posted 10 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 492 frontline employees who took The Breakroom Quiz

71st of 170 rated banks


Job description

Description

We're driven by curiosity, passion, optimism, and the belief that everybody can grow.

The Data Science Associate, Card Lending & Strategic Analytics, is a unique opportunity for a well-rounded data analytics professional to leverage data science methods and analytics to deliver actionable customer insights and data-driven solutions across the Card business.

As a Data Science Associate within the Card Lending & Strategic Analytics team, you will leverage your skills in building analytics, analysis, data querying, and extracting customer insights from big data to support our Credit Card business. This role is a hands-on mix of consulting know-how, analytical proficiency in statistics, data science, proficiency in SQL/Python programming, visualization methods, and technologies. You will have the opportunity to leverage your knowledge and analytical skills to uncover novel use cases of Big Data analytics that can be deployed at scale across the Credit Card business.

Job Responsibilities:

  • Work with partners across Card Strategy and Lending to provide data insights and support portfolio strategies.
  • Help partners in the Card business define their problems, understand root causes, and scope analytical solutions - uncovering novel, scalable use cases of Big Data analytics across the Credit Card business.
  • Build an in-depth understanding of the Card domain and available data assets.
  • Research, design, implement, and evaluate analytical approaches and models, including ad-hoc exploratory analyses and data mining across small-scale to "big data" datasets.
  • Take initiative in evaluating and adapting new approaches from data science research.
  • Investigate data visualization and summarization techniques, and communicate findings and obstacles to stakeholders to drive delivery to market.
  • Code your solutions (this is a hands-on position requiring exceptional programming skills).
  • Leverage AI agents and LLM-based tools to streamline analyses and automate the generation of insights, documentation, and reporting narratives.
  • Collaborate across teams to deliver the best solution for the client, working with a wide range of internal resources.

Required qualifications, capabilities, and skills:

  • Bachelor's degree in relevant quantitative field required.
  • 2+ years of hands-on experience with data analytics; experience evaluating complex business problems, data analysis and devising recommendations and analytics to solve those business problems.
  • Exceptional analytical, quantitative, problem solving, and communication skills.
  • Excellent leadership, consultative partnering and collaboration across teams.
  • Knowledge of statistical software and modern analytics tools (e.g., Python, R, SAS, SQL, Hive, Hadoop, Spark, Tableau, Alteryx).
  • Ability to convey complex information in an understandable, compelling, and persuasive manner to both technical and non-technical audiences.

Preferred qualifications, capabilities, and skills:

  • Advanced degree preferred in analytical field (e.g. Statistics, Economics, Applied Math, Operations Research, other Data Science fields)
  • Understanding of the key drivers within the credit card P&L is preferred.
  • Financial services background preferred, but not required.

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

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.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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