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Data Science Jobs in Delaware (NOW HIRING)

OneMain Financial

Manager, Data Science

Wilmington, DE · On-site

Manager, Data Science Location: Wilmington, DE (Hybrid Schedule) OneMain Financial is seeking a Data Science Manager based out of Wilmington, DE, to join our innovative and fast-moving Data Science ...

Athena LLC

Role Overview The Data Science Intern will help us to understand the performance of Executive Partners (XPs) and build advanced matching models to evaluate Athena's Executive Partners (XPs) and ...

University of Delaware

Manager, Data Science

Newark, DE · On-site

Manager, Data Science Apply now Job no: 503286 College / VP Area: VP Finance & Deputy Treasurer Work type: Staff Location: Newark, DE Categories: Institutional Research & Planning, Full Time Curious ...

Athenago

Data Science Intern

Wilmington, DE

Role Overview The Data Science Intern will help us to understand the performance of Executive Partners (XPs) and build advanced matching models to evaluate Athena's Executive Partners (XPs) and ...

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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 22, 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.
More about Data Science jobs
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 job categories do people searching Data Science jobs in Delaware look for? The top searched job categories for Data Science jobs in Delaware are:
What cities in Delaware are hiring for Data Science jobs? Cities in Delaware with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Delaware as of July 2026, with employment types broken down into 6% Locum Tenens, 76% Full Time, 6% Part Time, and 12% Contract. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $122,844 per year, or $59.1 per hour.
Manager, Data Science

Manager, Data Science

OneMain Financial

Wilmington, DE • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

OneMain Financial rating

7.6

Company rating: 7.6 out of 10

Based on 100 frontline employees who took The Breakroom Quiz

110th of 150 rated financial services

Job description

Manager, Data Science
Location: Wilmington, DE (Hybrid Schedule)
OneMain Financial is seeking a Data Science Manager based out of Wilmington, DE, to join our innovative and fast-moving Data Science team.
Successful candidates will be willing to challenge assumptions and bring fresh ideas, own projects from inception to production, and collaborate with internal partners to improve customer experience and drive OneMain's financial performance.
Example projects include building underwriting models for our core personal loans business; evaluating new data sources, technologies, and model-building techniques; and developing algorithmic solutions to automate income verification.
Key qualities include creativity, clarity in communication, ability to strike a balance between speed to market and quality of delivery, and a willingness to seek out or develop new tools and ideas. Bring your individual strengths, knowledge, and interests to bear on the problems we tackle. Propose new ideas. Pursue some of them.
Responsibilities:
  • Identify high impact opportunities where a model or data-related solution can provide large leverage. Then design, build, validate, implement, monitor, and improve that data science solution.
  • Identify new data sources, new technologies, new techniques, and new insights that will create value for our customers and lines of business.
  • Promote best practices for model development and software design.
  • Communicate and collaborate with cross-functional partners.
  • Work with third-party vendor partners to evaluate data and products and integrate those that that show promise into our data science practices and platforms.
  • Develop testing & control procedures to ensure execution accuracy and effective post-implementation monitoring.
  • Independently complete analyses, draw conclusions, and present results to influence business & strategy decisions.
  • Unlock insights from non-traditional data sources such as information from other industries, tax data, deposit data, demographic data, and digital data.

Requirements:
Technical skills
  • Proven experience with data analysis and coding equivalent to 4+ years of experience working as a data scientist
  • Applied experience with a variety of modeling techniques like regression, boosted decision trees, deep learning, NLP, and so forth
  • Strong software development skills covering design, algorithms, optimization, testing, and source control
  • Hands-on experience with building self-contained solutions with clear interfaces
  • Demonstrable mathematical and algorithmic aptitude

Communication
  • Outstanding communication skills with the comfort to interact with all levels with clarity and at an appropriate level of detail
  • Ability to identify and convey the essential information in every communication
  • Ability to understand the business intent behind every project and tell the story around it
  • Willingness to propose and defend ideas

Collaboration
  • Experience working in cross-functional teams across a large, multi-stakeholder organization
  • Ability to work with a high degree of autonomy: can resolve or escalate issues appropriately; can fill in the gaps when requirements are incomplete
  • Ability to work with teams of diverse individuals focused on several disparate projects simultaneously

Risk management mindset
  • Can foresee risks and potential points of failure in a data science system and appropriately mitigate or manage them
    • Anticipate weaknesses in models, software, and systems
    • Use defensive practices to build robust products (e.g. testing, code review)
    • Minimize surface area for failure (develop around clear interfaces, use well-understood tools, minimize external dependencies)
    • Prepare for the unexpected (fail fast with clear error messages, develop failure contingency plans)
    • Understand the importance of monitoring production systems and setting up clear alert systems
  • Appropriately balance the tradeoffs between the use of cutting-edge enterprise systems vs. simple and familiar tooling

Who We Are
OneMain Financial (NYSE: OMF) is the leader in offering nonprime customers responsible access to credit and is dedicated to improving the financial well-being of hardworking Americans. Since 1912, we've looked beyond credit scores to help people get the money they need today and reach their goals for tomorrow. Our growing suite of personal loans, credit cards and other products help people borrow better and work toward a brighter future.
Driven collaborators and innovators, our team thrives on transformative digital thinking, customer-first energy and flexible work arrangements that grow lives, careers and our company. At every level, we're committed to an inclusive culture, career development and impacting the communities where we live and work. Getting people to a better place has made us a better company for over a century. There's never been a better time to shine with OneMain.
Because team members at their best means OneMain at our best, we provide opportunities and benefits that make their health and careers a priority. That's why we've packed our comprehensive benefits package for full- and some part-timers with:
  • Health and wellbeing options including medical, prescription, dental, vision, hearing, accident, hospital indemnity, and life insurances
  • Up to 4% matching 401(k)
  • Employee Stock Purchase Plan (10% share discount)
  • Tuition reimbursement
  • Paid time off (15 days' vacation per year)
  • Paid sick leave as determined by state or local ordinance, prorated based on start date
  • Paid holidays (11 days per year, based on start date)
  • Paid volunteer time (3 days per year, prorated based on start date)

OneMain Holdings, Inc. is an Equal Employment Opportunity (EEO) employer. Qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship status, color, creed, culture, disability, ethnicity, gender, gender identity or expression, genetic information or history, marital status, military status, national origin, nationality, pregnancy, race, religion, sex, sexual orientation, socioeconomic status, transgender or on any other basis protected by law.

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