1

Data Science Jobs in Delaware (NOW HIRING)

Along with leveraging your proficiency with modern data science and analytics tools (including the AI suites that can boost your productivity), you'll clearly and concisely articulate data needs ...

Data Scientist Lead

Wilmington, DE · On-site

$142K - $210K/yr

Along with leveraging your proficiency with modern data science and analytics tools (including the AI suites that can boost your productivity), you'll clearly and concisely articulate data needs ...

Data Analyst

Lewes, DE · On-site +1

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or related field. * Proficiency in data analysis tools such as SQL, Excel, Python, or R. * Experience with data ...

Works closely with business owners to identify opportunities and serves as an ambassador for data science * Is familiar with the business context and data infrastructure and can translate business ...

Partner with leads in Data Science, Engineering, and Analytics to develop strategies to optimize training data for machine learning models * Lead efforts to identify patterns and trends in ...

... Data Science, Engineering, and Analytics to develop strategies to optimize training data for machine learning models • Lead efforts to identify patterns and trends in conversational data through ...

next page

Showing results 1-20

Data Science information

See Delaware salary details

$37.5K

$122.8K

$196.7K

How much do data science jobs pay per year?

As of Jul 2, 2026, the average yearly pay for data science 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 data science a good career?

Data science is a growing field with high demand for professionals skilled in statistics, programming, and data analysis tools like Python and R. It offers competitive salaries, diverse industry applications, and opportunities for advancement, making it a strong career choice for those with relevant skills and education.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What jobs can a Data Scientist do?

A Data Scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What work do you do as a Data Scientist?

A Data Scientist analyzes large datasets to extract insights, build predictive models, and inform business decisions. They use programming languages like Python or R, and tools such as SQL and machine learning frameworks, often working in collaborative environments with data engineers and analysts.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
What are the most commonly searched types of Data Science jobs in Delaware? The most popular types of Data Science jobs in Delaware are:
What are popular job titles related to Data Science jobs in Delaware? For Data Science jobs in Delaware, the most frequently searched job titles are:
What cities in Delaware are hiring for Data Science jobs? Cities in Delaware with the most Data Science job openings:
Infographic showing various Data Science job openings in Delaware as of June 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $122,844 per year, or $59.1 per hour.
Data Scientist Lead

Data Scientist Lead

JP Morgan Chase

Wilmington, DE • On-site

Full-time

Medical, Retirement

Posted 26 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 486 frontline employees who took The Breakroom Quiz

54th of 144 rated banks


Job description

This is a unique opportunity to have meaningful impact on a large scale at a leading financial services firm!!

You'll need to be a strategic, analytical thinker with enough networking skills to become a trusted advisor and thought leader in the marketing space. Along with leveraging your proficiency with modern data science and analytics tools (including the AI suites that can boost your productivity), you'll clearly and concisely articulate data needs, analytical findings, and process improvements in a way that senior leadership finds persuasive.

Job responsibilities

Joining our team means you sit in the engine that powers Chase with insights, inspires customer-centric innovation, and answers critical questions around our marketing. Working here means joining a collaborative, supportive team. We want your diverse perspective to help us innovate the next wave of analytical products and solutions for our business.

You'll be working with marketing analytics teams across the organization to ensure that the entire firm can effectively and efficiently measure our marketing. This will involve:

  • Taking a leading role with peer analytics teams to understand and influence how marketing measures results (datasets, process, and methods)
  • Designing and prototyping key datasets that enable better measurement, including creating the business case and ensuring data quality.
  • Developing and promoting a deep understanding of how AI can streamline and enrich our measurement.
  • Working closely with peers to ensure the quality of your own work as well as the team's.

Required qualifications, capabilities and skills

  • Undergraduate or advanced degree in analytical field (e.g., Computer Science, Economics, Mathematics, Statistics, Engineering, Operations Research, Physics), data bootcamp certification, or industry experience in analytical roles (e.g., consulting, modeling, data analysis).
  • 6 + years of experience with modern data science tools (ex: SQL, AWS, Python), current AI tools (ex: Copilot, Claude), and familiarity with quantitative techniques (ex: regression analysis) - with an appetite for updating this list as new technologies and techniques arrive.
  • Expertise in the scientific method, able to frame a non-technical question as a testable hypothesis and articulate what can or cannot be statistically proven with current or potential data.
  • Able to address business challenges with practical and consultative solutions.
  • Attention to detail, able to spot and correct potential flaws in a dataset or analysis.
  • Strong work management skills, able to keep several projects on track simultaneously and persuasively communicate value of work to senior leaders.

Preferred qualifications, capabilities and skills

  • Financial services background.
  • Experience at a top tier analytics consulting firm is a benefit.
  • MBA or other master's degree in a quantitative field.

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.

What JPMorgan Chase & Co. employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom