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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 ...

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 ...

Communicate complex data science and machine learning concepts clearly and effectively to collaborators with diverse technical backgrounds WHAT WE'RE LOOKING FOR Required * Experience building search ...

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 ...

AML Business Data Manager

Wilmington, DE · On-site

$96K - $155K/yr

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 ...

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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 Jun 9, 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.

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.

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 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 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 92% Full Time, and 8% Contract. Highlights an 100% In-person job distribution, with an average salary of $122,844 per year, or $59.1 per hour.
Technical Project Manager - Machine Learning & Data Science

Technical Project Manager - Machine Learning & Data Science

Cadmus, LLC

Dover, DE

$105K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 hours ago


Job description

Overview

What You'll Be Doing

Cadmus is seeking a Technical Project Manager (TPM) with a passion for delivering high quality projects in a complex, fast paced environment to support a major commercial client in the automotive entertainment space. You will work with machine-learning (ML), data science/Artificial Intelligence (DS/AI), data engineering, and analytics teams to deliver initiatives that support the enterprise's data needs. You will function as a TPM authority and team leader, owning programs that span multiple teams and systems, improving delivery processes, and serving as a key liaison with program stakeholders. We are looking for someone who is results-oriented and comfortable with facilitating engineering teams to predictably meet commitments and successfully deliver high quality products and features. Your success will be achieved through clear communication and collaboration among the team, removing impediments, enabling flexibility and rapid respond to change, and providing leadership grounded in trust, transparency, and kindness.

Who We Are

Cadmus provides government, commercial, and other private organizations worldwide with technology-empowered advisory and implementation services. We help our clients achieve their goals and drive lasting, impactful change by leveraging transformative digital solutions and unparalleled expertise across domains.

At Cadmus, we look for team players and problem solvers who are driven to use their unique perspectives and intellectual curiosity to help deliver breakthrough solutions that achieve transformative goals. As a member of our team, you'll collaborate with leading experts to support our clients across the globe. We offer competitive compensation, outstanding health care and retirement benefits, a vibrant and collaborative work environment, and ample opportunities for professional growth.

Join Cadmus. Together, we are strengthening society and the natural world. For more information, visit cadmusgroup.com .

Responsibilities

  • Manage and coordinate across multiple engineering teams delivering Machine Learning (ML) and Data Science/Artificial Intelligence (DS/AI) features and capabilities to support the broader vision, goals, and objectives of the company. Coordinate activities with internal teams and external partners.

  • Oversee end-to-end activities to ensure coordination and on-time delivery. Build integrated schedules based on an understanding team's activities and interdependencies between teams. Manage removing blockers, risks, and issues. Report program status.

  • Lead Agile ceremonies and assist with story definition, backlog prioritization, and dependency resolution.

  • Help Engineering teams balance scope, timeline, and quality to achieve optimal outcomes based on an understanding of priorities.

  • Advocate for clear priorities, technical excellence, process and best practices adherence, and customer-focused outcomes.

  • Influence without authority and drive consensus across diverse stakeholders.

Qualifications

  • 5+ years of experience as a Technical Project Manager or Scrum Master, managing cross-functional projects.

  • Bachelor's degree in Information Systems, BI or Analytics or Engineering.

  • Strong technical proficiency and experience working with Machine Learning (ML) or Data Science/Artificial Intelligence (DS/AI) teams.

  • Experience managing large, ambiguous, cross-functional programs operating in fast-paced, highly collaborative environments.

  • Experience performing TPM best practices (e.g., schedule development and tracking, risk management, status reporting).

  • Experience regularly maintaining and reporting program data, preferably in Jira.

  • Deep understanding of Agile and SDLC methodologies and leading/modeling process adherence.

  • Excellent communication and problem-solving skills.

  • Ability to facilitate teams and individuals working collaboratively and efficiently.

  • A composed presence, business acumen, and ability to communicate at multiple levels of the organization.

  • Experience with automation and/or AI tools such as ChatGPT, Gemini, etc.

  • Preferred certifications: PMP or Scrum Master.

Additional Information:

Candidates must be eligible to work in the United States as a U.S Perm Resident or U.S. Citizen.

Based on eligibility and job status, Cadmus offers an excellent benefits package to include: medical, dental, vision, company paid disability and life insurance, 401(k) program, paid time off (PTO), paid holidays, voluntary time off (VTO), tuition reimbursement, adoption assistance program, other optional benefits and various bonus programs.

The minimum starting salary for this position is $105,000. The actual salary may be higher and will be determined by several factors, including relevant work experience, education, skills, and market competitiveness.

We value the critical role safety and health protocols contribute to everyone's success at Cadmus, and work together to align and comply with all federal, state, and local safety and health mandates to ensure a safe and valuable work environment.

Cadmus is an Equal Opportunity Employer and prohibits unlawful discrimination. Cadmus is committed to providing a respectful workplace where equal employment opportunities are available to all applicants and employees without regard to race, color, religion, sex (including pregnancy), sexual orientation (including gender identity and/or expression), national origin, military and veteran status, physical and mental disability, or any other characteristic protected by applicable law.

Learn more about Cadmus by visiting our website at: cadmusgroup.com

Job Locations US

Posted Date 1 month ago (5/8/2026 12:02 PM)

Job ID 2026-3160

# of Openings 1

Category Information Technology