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Data Scientist Jobs in Delaware (NOW HIRING)

Jobtailor

Senior Data Scientist

Wilmington, DE · On-site

$120 - $160/hr

Support deployment and operationalization of analytics and data science outputs into Business Intelligence solutions * Apply metadata management and data logs knowledge Requirements * Bachelor ...

Td

Data Scientist III - FCRM Risk Modeling

Wilmington, DE · On-site

$96K - $155K/yr

We are seeking talented data scientists to join us to innovate, drive, and support initiatives and business as usual operations in multiple functional areas including, but not limited to, customer ...

Implify Inc

Data Scientist PCON & Architect

Newark, DE · On-site

Analytics - Data Scientist - Architect 100% Travel Duration : Full Time Permanent Skillset: Analytics , Domain: Business Intelligence Qualifications Basic - Bachelor's degree or foreign equivalent ...

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Data Scientist information

See Delaware salary details

$37.5K

$122.8K

$196.7K

How much do data scientist jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data scientist 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, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What do data scientists do?

Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.

What are some typical projects data scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

Is a data scientist job still in demand?

Yes, data scientist roles remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and employment opportunities continue to grow as organizations seek to leverage big data for competitive advantage.

What does a data scientist do exactly?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use statistical techniques, programming languages like Python or R, and tools such as SQL and machine learning algorithms to interpret data and solve complex problems.
More about Data Scientist jobs

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 Data Scientist jobs in Delaware?

For Data Scientist jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Data Scientist jobs in Delaware look for?

The top searched job categories for Data Scientist jobs in Delaware are:

What cities in Delaware are hiring for Data Scientist jobs?

Cities in Delaware with the most Data Scientist job openings:

What are popular job titles related to Data Scientist jobs in DE?

For Data Scientist jobs in DE, the most frequently searched job titles are:

Data Scientist jobs near you
Infographic showing various Data Scientist job openings in Delaware as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $122,844 per year, or $59.1 per hour.

Senior Data Scientist

Jobtailor

Wilmington, DE • On-site

$120 - $160/hr

Other

This job post has expired 3 days ago. Applications are no longer accepted.

Job description

  • Develop advanced analytics and machine learning models
  • Maintain efficient data pipelines, reporting systems, and DataOps practices for CI/CD of pipelines and BI infrastructure
  • Collaborate with analysts, business partners, and stakeholders to deliver scalable analytics, reporting, and data-driven decision-making solutions
  • Implement data integration solutions for various data sources
  • Develop data quality, reconciliation, and error-handling frameworks
  • Optimize SQL and data transformation logic for performance and scalability
  • Document data flows, transformations, and dependencies
  • Drive coding and testing best practices and improve processes and system reliability
  • Deliver clean, structured datasets for visualization
  • Build predictive and statistical models for forecasting, segmentation, and optimization
  • Implement machine learning and AI into Business Intelligence processes
  • Validate, test, and refine models for accuracy and business relevance
  • Analyze large, complex datasets to identify trends, patterns, and business opportunities
  • Support deployment and operationalization of analytics and data science outputs into Business Intelligence solutions
  • Apply metadata management and data logs knowledge
Requirements
  • Bachelor's degree
  • 5+ years of work experience in data engineering, BI development, or analytics engineering
  • Experience supporting enterprise BI platforms and predictive analytics
  • Experience with Oracle and Microsoft SQL database technologies
  • Extensive experience with R, Python, and data modeling concepts
  • Understanding of data pipeline and ETL/ELT technologies
  • Understanding of Databricks, Snowflake, and Microsoft Fabric
  • Proven experience in SQL performance tuning and recommending improvements for automation and maintainability
  • Excellent understanding of data visualization concepts for dashboards and reports
  • Experience working in Agile/Scrum environments, including sprint planning, standups, reviews, and retrospectives
  • Ability to work independently and collaboratively
  • Strong problem-solving and analytical thinking skills
  • Ability to learn new technologies and prioritize tasks in a high-pressure environment
  • Excellent communication and interpersonal skills
  • Detail-oriented focus on quality and accuracy
  • Preferred: experience with Azure or AWS cloud platforms
  • Preferred: experience with Alteryx
Core Competencies

Demonstrates expertise in developing advanced analytics and machine learning models, optimizing data pipelines, and implementing data integration solutions. Proficient in SQL performance tuning and data visualization, with a strong focus on delivering scalable analytics and data-driven decision-making solutions.

Highest-signal resume keywords
  • Machine Learning Model Development
  • SQL Performance Tuning
  • Data Pipeline Optimization
  • Data Visualization Concepts
  • Experience with R and Python
Hard Skills
  • Data Engineering
  • Business Intelligence Development
  • Predictive Analytics
  • Data Modeling
  • ETL/ELT Technologies
  • Data Quality Frameworks
  • Statistical Modeling
  • Data Transformation Logic
  • Metadata Management
  • Data Analysis
Soft Skills
  • Problem-Solving
  • Analytical Thinking
  • Communication
  • Interpersonal Skills
  • Detail-Oriented
Industry Keywords
  • DataOps
  • Agile
  • Scrum
  • Business Intelligence
  • Data-Driven Decision-Making
Tools & Technologies
  • Oracle
  • Microsoft SQL
  • Databricks
  • Snowflake
  • Microsoft Fabric
  • Azure
  • AWS
  • Alteryx
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