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Data Scientist Jobs in Delaware (NOW HIRING)

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 ...

OneMain Financial

Manager, Data Science

Wilmington, DE · On-site

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 ...

OneMain Financial

Manager, Data Science

Wilmington, DE · On-site

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 ...

ECCLESIASTES INC

Data Scientist/ML Architect

Newark, DE · On-site

Customer currently has about 20 models deployed but their operations model and data pipeline are a mess and not built well. We are looking for an architect to go through assessment and design phase ...

ECCLESIASTES INC

Data Scientist/ML Architect

Newark, DE · On-site

Customer currently has about 20 models deployed but their operations model and data pipeline are a mess and not built well. We are looking for an architect to go through assessment and design phase ...

ECCLESIASTES INC

Data Scientist/ML Architect

Newark, DE · On-site

Customer currently has about 20 models deployed but their operations model and data pipeline are a mess and not built well. We are looking for an architect to go through assessment and design phase ...

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All JobsData Scientist JobsData Scientist Jobs in Delaware

Data Scientist information

See Delaware salary details

$37.5K

$122.8K

$196.7K

How much do data scientist jobs pay per year?

As of Aug 11, 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.

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.

Is data science a math heavy field?

Data scientists rely heavily on mathematics, including statistics, linear algebra, and calculus, to analyze data and develop models. Strong math skills are essential for tasks like machine learning, data analysis, and algorithm development, often complemented by programming in languages such as Python or R. However, practical skills in data manipulation and domain knowledge are also important for success in the field.

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.

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.
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, 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 PCON & Architect

Implify Inc

Newark, DE • On-site

Full-time

Re-posted 26 days ago

Job description

Company Description

Implify, Inc is a Global IT Solutions and services firm. Since it's inception, Implify, Inc has been providing best-quality and cost-effective IT solutions to fortune 1000 companies, mid-range companies and upcoming companies via its onsite, Offshore and in-house service models.
IMPLIFY is an IT consulting services and software development firm dedicated to business success through long-term relationships with our clients and staff. IMPLIFY has built a dynamic, profitable, service-oriented enterprise, and is positioned to successfully respond to trends and changes in the information technology industry.

Job Description

Position: 1
Job Title: Analytics - Principal Consultant
100% Travel
Duration : Full Time Permanent
Qualifications Basic
- Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
- At least 7 years of experience with Information Technology OR Business Intelligence/Analytics consulting.

Must Have Skill/Competency:
Domain - Retail and/or CPG domain Knowledge
Retail Execution - Demand Forecasting/Inventory Management/Supply Chain, CRM, Sales and Operation, Procurement
Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty Management, Forecasting
Data Understanding of Sales, Inventory, Store, Product and Promotion Data
Ability to translate business requirement to analytical model
Communicate directly with business users
Technical Skills -SQL, Advanced Excel, R/SASHadoop, Spark, Python Tableau/Spotfire/Qlikview
Nice to have Skill/Competency:
Hadoop, Spark, Python
Tableau/Spotfire/Qlikview
Nielsen/IRI/Market Research Data understanding

Job responsibilities:
Understand business requirement from client and translate it to appropriate Analytics use cases
Work in a team environment to deliver analytics solution to client
Define new business metrics as required and build measurement systems as needed
Enjoy designing, develop and deploy state of the art, data-driven predictive models
Adept in quick starting optimization options to solve business problems using latest technologies in data mining and statistical modeling,
Advise clients & internal teams on the right analytics algorithm, platforms and approaches to take in addressing complex, open-ended business problems.
Position: 2
Job Title: Analytics - Data Scientist - Architect
100% Travel
Duration : Full Time Permanent
Skillset: Analytics ,
Domain: Business Intelligence
Qualifications Basic
- Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
- At least 7 years of experience with Information Technology OR Business Intelligence/Analytics consulting.
Qualifications Preferred
MS or PhD in a quantitative discipline such as Statistics, Applied Math, Operations Research, Computer Science, Engineering or Physics
7+ years applied experience devising, deploying and servicing statistical and machine learning models on massive datasets; extensive experience in wrangling data from its raw forms to a state suitable for application of advanced algorithms
Fluent in using R, SAS, Matlab, Python or equivalent statistical analysis software
Knowledge of Perl, Python or Ruby; experience with Java, C or C++
Experience with Apache Spark and Scala
Knowledge of Clojure or Julia for statistical learning and optimization algorithms
Hands-on experience with NoSQL techniques such as MongoDB, Neo4j etc.
Deep background in at least one of the following: Statistical learning, Machine learning, Stochastic simulation, Natural Language Processing, Numerical Optimization, Agent-based modeling, Parallel programming, Computational Economics, High-Performance Computing
Job responsibilities
Enjoy designing, develop and deploy state of the art, data-driven predictive models; adept in quick starting optimization options to solve business problems using latest technologies in data mining, statistical modeling, pattern recognition, and optimization across the chosen industry and functional area WITHIN the guidelines, policies and norms of Infosys. Build mathematical models to analyze and derive practical insight from large volumes of data
Define new business metrics as required and build measurement systems as needed
Advise clients & internal teams on the right technology environment, analytic platforms and approaches to take in addressing complex, open-ended business problems.
Own the development of at least one IP asset (analytic point solutions / prototypes / products) that meet such opportunities
The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements.

Additional Information

All your information will be kept confidential according to EEO guidelines.

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