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Hourly Data Scientist Jobs in Delaware (NOW HIRING)

Tech Impact

Data Scientist - Fellowship

Wilmington, DE · On-site

$40/hr

This is an hourly contract position. * 20 hours per week. * $40/Hour * Fellowship program runs from ... As a Data Scientist, you will work with our partners to design, develop, and deploy production ...

Iff

AI & Data Scientist

Wilmington, DE · On-site

Job Summary Are you passionate about using AI, data science and digital innovation to transform quality operations and accelerate scientific decision-making? IFF is a global leader in flavors ...

Td

Data Scientist - FCRM

Wilmington, DE · On-site

$96K - $155K/yr

The Data Scientist III provides technical leadership across the overall Analytics function which may have an enterprise mandate. This role generally provides deep technical knowledge and expertise in ...

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 ...

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All JobsHourly Data Scientist JobsHourly Data Scientist Jobs in Delaware

Hourly Data Scientist information

See Delaware salary details

$37.5K

$122.8K

$196.7K

How much do hourly data scientist jobs pay per year?

As of Aug 11, 2026, the average yearly pay for hourly 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 skills and qualifications are needed to thrive as an hourly data scientist?

To thrive as an Hourly Data Scientist, you need strong analytical skills, proficiency in statistics, and experience with data modeling, usually supported by a degree in a STEM field. Familiarity with programming languages like Python or R, data visualization tools, and cloud-based platforms is typically required. Excellent problem-solving, time management, and communication skills help hourly data scientists deliver impactful insights efficiently. These abilities are essential for providing high-quality, actionable solutions within time constraints in a flexible or contract-based work environment.

How does the structure of hourly work impact collaboration and project involvement for data scientists?

As an hourly data scientist, you may be assigned to specific projects or tasks based on immediate business needs, which can mean working with different teams on a rotating basis. This structure offers flexibility and exposure to a variety of datasets and problems, but it can also present challenges in building long-term relationships or seeing projects through from start to finish. To succeed, it's important to communicate proactively, quickly adapt to new team dynamics, and document your work thoroughly for smooth handoffs. Many organizations use collaborative tools and regular check-ins to ensure hourly team members remain integrated and informed.

What is an hourly data scientist?

Hourly data scientists are professionals who analyze and interpret complex data to help organizations make data-driven decisions, but they are paid on an hourly basis rather than receiving a fixed salary. Their tasks can include building predictive models, managing and cleaning data, and communicating findings to stakeholders. Hiring data scientists on an hourly basis allows businesses to access specialized expertise for specific projects or short-term needs without committing to a full-time hire.

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

AspectHourly Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's degree in Data Analysis, Statistics, or related field
Work EnvironmentProject-based, consulting, or freelance settings; tech companies, finance, healthcareCorporate offices, research firms, marketing agencies
Employer & Industry UsageTech firms, startups, consulting agenciesBusiness, marketing, finance, healthcare
Common Search & ComparisonHourly Data Scientist vs Data Analyst

Hourly Data Scientists and Data Analysts often share similar educational backgrounds and work environments. However, Data Scientists typically handle more complex modeling, machine learning, and predictive analytics, while Data Analysts focus on data visualization, reporting, and descriptive analysis. The hourly rate for Data Scientists is generally higher due to the advanced skills required. Both roles are vital in data-driven industries, but their scope and responsibilities differ significantly.

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 Hourly Data Scientist jobs in Delaware? For Hourly Data Scientist jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Hourly Data Scientist jobs in Delaware look for? The top searched job categories for Hourly Data Scientist jobs in Delaware are:
What cities in Delaware are hiring for Hourly Data Scientist jobs? Cities in Delaware with the most Hourly Data Scientist job openings:
Hourly Data Scientist jobs near you
Infographic showing various Hourly Data Scientist job openings in Delaware as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $122,844 per year, or $59.1 per hour.

Data Scientist - Fellowship

Tech Impact

Wilmington, DE • On-site

$40/hr

Contractor

Re-posted 12 days ago

Job description


Data Innovation Lab
Data Scientist 
  • Join an innovative, like-minded team that focuses on your personal growth and accelerating your career!
  • Use your skills and experience for social good.
  • This is an hourly contract position.
  • 20 hours per week.
  • $40/Hour
  • Fellowship program runs from July 2026 to December 2026.
About Us
Tech Impact's Data Innovation Lab (Tech Impact) exists to engage local and global organizations in an ongoing conversation around the use of advanced data analytics and artificial intelligence to fast-forward research ideas out of the lab and into the marketplace.
Our mission is to develop novel data and analytics approaches that can disrupt the status quo and fundamentally alter a current issue or problem. Using best practices, diverse industry experience, access to technical and scientific talent, and core technologies, the lab will solve community-based issues while attracting national talent to the region and providing work for the technical and innovative talent of Delaware.
For more information, visit our website.
About the Opportunity
Tech Impact is looking for Data Scientists to join our Fellowship Program in Delaware. The Fellowship Program will run from July 2026 to December 2026 and is a hybrid role. Along with our Lead Data Scientist, our Data Scientists serve as our primary delivery resource for consulting, study-design, analytics/ML and statistical inferencing.
The Fellowship is intended for technologists with a deep technical skill set and a strong desire to serve their communities. As a Data Scientist, you will work with our partners to design, develop, and deploy production-grade solutions to social good problems. You will be expected to collaborate across projects to generate hypotheses, develop models, and create products. Your work will directly lead to improving the lives of people in communities in Delaware and beyond. 
Responsibilities include, but are not limited to:
  • Analyze data for trends and patterns through both exploratory and hypothesis-driven approaches. 
  • Organize and communicate findings to clients and stakeholders. 
  • Select and apply analytical techniques and modeling methods aimed at supporting problem sets focused on data used for social good.
  • Propose tangible machine learning solutions, helping to build products that advance the Lab’s goals.
  • Serve as an authority in machine learning data education/application amongst clients/stakeholders.
  • Tactically develop production-grade models while thinking strategically about public impact/relevance  
  • Contribute to innovative projects, specifically to idea generation, idea incubation, and/or experimentation.
  • Serve as a liaison between government, corporate, community, and non-profit teams to drive the application of machine learning solutions into real-world applications.
  • When relevant, support authorship of academic papers, presentations, white papers, and other publications by conducting analyses and producing visualizations. 

More About You 
Our preferred candidate has a Master's Degree or above in statistics, mathematics, computer science, psychology, public health, or another related quantitative field. However, undergraduates or individuals who have relevant training will also be considered.
In addition, we require strong skills, experience, and knowledge in the following:
  • Commitment to leveraging data for social good. 
  • Hands-on coding experience in Python / R / Julia or any other open-source programming language 
  • Relevant delivery of complex analytical projects
  • Working with version control platforms, especially Git / GitHub 
  • Ability to work closely with other Data Lab members to perform ETL using SQL.
  • A self-motivated thinker that works well independently and on collaborative teams.  
  • Ability to translate complex data science jargon into meaningful, actionable insights for technical and non-technical stakeholders. 
  • Excellent organizational skills, with the ability to organize and prioritize work efficiently and effectively. 
  • A preference for experience working in cloud environments (preference for those with Azure experience) 
  • A preference for experience handling confidential data and information with integrity in a shared cloud environment.
  • An eagerness to stay up to date on new technologies and methodologies to level up your skillset. 

Employment Policy
As an Equal Opportunity Employer, Tech Impact embraces diversity and does not discriminate in employment based on age, race, color, creed, sex, gender, identity, religion, marital status, veteran’s status, national origin, disability, or sexual orientation. 
  • ADA Specifications: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position. 
  • Requires the ability to speak, hear, see and use a computer and other office-related equipment. 
  • Also requires the ability to sit for extended periods of time, stand, stoop, crawl and lift to 50 lbs. 
  • May require local and regional travel. 
 
 

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