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Associate Data Scientist Jobs in Delaware (NOW HIRING)

CCB Risk Program Associate

Wilmington, DE · On-site

$57K - $57K/yr

... such as Computer Science, Mathematics, Statistics, Econometrics, or Engineering. * 5+ years ... Demonstrated expertise in data wrangling and model building on a distributed Cloud computation ...

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Associate Data Scientist information

See Delaware salary details

$57.5K

$68.1K

$129.1K

How much do associate data scientist jobs pay per year?

As of Jul 24, 2026, the average yearly pay for associate data scientist in Delaware is $68,097.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $59,600.00 per year, depending on experience, location, and employer.

What is the difference between Associate Data Scientist vs Data Analyst?

AspectAssociate Data ScientistData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; certifications like Microsoft Excel or Tableau are common
Work EnvironmentCollaborates with data science teams, develops models, and analyzes complex datasetsPrepares reports, visualizes data, and provides insights for decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms focusing on predictive modelingCommon across various industries for business reporting and operational analysis

The Associate Data Scientist typically focuses on building models and advanced analytics, requiring programming skills and statistical knowledge. Data Analysts mainly interpret data through reports and visualizations, often with less emphasis on coding. Both roles are essential in data-driven organizations but differ in technical depth and responsibilities.

What are the key skills and qualifications needed to thrive as an Associate Data Scientist, and why are they important?

To thrive as an Associate Data Scientist, you need strong analytical skills, a solid foundation in statistics, and proficiency in programming languages like Python or R, typically supported by a degree in a quantitative field. Experience with data visualization tools (e.g., Tableau), machine learning libraries (e.g., scikit-learn), and database systems (e.g., SQL) is often required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating data insights into actionable business solutions. These skills and qualities are essential for extracting valuable insights from complex data and driving data-informed decision-making within organizations.

What does an Associate Data Scientist do?

An Associate Data Scientist supports data-driven decision-making by collecting, cleaning, and analyzing large datasets. They use statistical methods and programming languages like Python or R to identify trends, build predictive models, and generate insights for business problems. Working under the guidance of more experienced data scientists, they also help visualize data and communicate findings to technical and non-technical stakeholders. This entry-level role often involves learning new tools and techniques while contributing to real-world projects.

What are some typical projects an Associate Data Scientist might work on, and how do they collaborate with other team members?

As an Associate Data Scientist, you can expect to contribute to a range of projects such as developing predictive models, analyzing large datasets to uncover business insights, and supporting the deployment of machine learning solutions. Collaboration is key; you'll often work closely with data engineers to prepare and process data, as well as with business analysts and product managers to align your findings with organizational goals. Regular meetings, code reviews, and knowledge-sharing sessions are common, providing opportunities to learn from senior data scientists and broaden your technical skills.

What Does an Associate Data Scientist Do?

The duties of an associate data scientist are to analyze statistical data analysis on large sets and identify trends by using advanced mathematical and computer science skills. Their responsibilities often include assisting in the production of statistical models, tools, and processes. They typically are in the process of pursuing a master’s degree and report to a senior data scientist. The qualifications you need are a bachelor’s degree in statistics, computer science, or a related field as well as experience working with machine-learning and data mining algorithms.

What are the most commonly searched types of Data Scientist jobs in Delaware? The most popular types of Data Scientist jobs in Delaware are:
What are popular job titles related to Associate Data Scientist jobs in Delaware? For Associate Data Scientist jobs in Delaware, the most frequently searched job titles are:
What are popular job titles related to Associate Data Scientist jobs in DE? For Associate Data Scientist jobs in DE, the most frequently searched job titles are:
Infographic showing various Associate Data Scientist job openings in Delaware as of July 2026, with employment types broken down into 1% As Needed, 69% Full Time, 27% Part Time, 1% Temporary, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $68,097 per year, or $32.7 per hour.
Quant Analytics Associate - Card Data Anaytics

Quant Analytics Associate - Card Data Anaytics

JPMorgan Chase & Co

Wilmington, DE

$57K - $57K/yr

Full-time

Medical, Retirement

Posted 7 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

61st of 150 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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