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Data Scientist Jobs in Delaware (NOW HIRING)

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 ...

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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

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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.

IBP Supply Planning Data Scientist

Agilent

Wilmington, DE • On-site

Full-time

Posted 8 days ago

Agilent Technologies rating

8.5

Company rating: 8.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

32nd of 545 rated manufacturers

Job description

Job Description

Integrated Business Planning (IBP)brings together forecasting and planning across marketing, sales, finance, procurement, manufacturing, and customer service into a unified process. This integration ensures alignment across the enterprise, leading to superior customer outcomes.

Agilent is building our enterprise planning capabilities to drive IBP across the business by establishing Global Demand & Supply Planning Teams, and a centralized Planning Excellence Team (PET). Collectively, this new structure will continue to lead our Ignite IBP transformation journey which will strengthen our competitive advantage by enabling faster, more reliable planning. The IBP Supply Planning Data Scientist role will bring key data scientist capabilities to this effort.

As theIBP Supply Planning Data Scientist, you will be responsible for developing and maintaining advanced inventory and supply planning models, refreshing portfolio inventory targets, and monitoring key planning parameters to ensure the business is positioned to meet demand reliably and efficiently.

Principle Duties/Responsibilities:

  • Provide data-driven insights, dashboards, and scenario modeling to support supply planners, S&OE/S&OP processes, and enterprise decision-making

  • Drive continuous improvement in supply and inventory analytics, data quality, and model reliability

  • Drive automation and advanced analytics, leveraging Python, SQL, and BI tools to scale insights

  • Partner with Supply Planning Stewards to align analytics with standards, governance, and process maturity efforts

  • Build, maintain, and enhance inventory optimization models (safety stock, segmentation, variability-based rules, reorder logic)

  • Refresh inventory targets across the portfolio and ensure alignment with service expectations, demand patterns, and supply constraints

  • Monitor and tune critical inventory parameters (lead times, variability, cycle stock inputs, yield factors) based on actual system performance

  • Analyze inventory health (target adherence, shortages, excess, age, replenishment performance) and provide insights to planners and leaders

  • Provide inventory-focused scenario analysis for demand changes, supply disruptions, or service-level shifts

  • Support supply planners with modeling supply capability (RCCP, constraints, capacity modeling, yield/throughput assumptions)

  • Generate dashboards and KPIs that reflect supply plan stability, attainment, constraint exposure, and readiness

  • Enable S&OE/S&OP with near-term supply-demand coverage analytics, including early warning indicators

  • Develop and maintain supply-focused models (scenario models, coverage calculators, constraint dashboards) for decision support

Qualifications

  • Bachelor's or Master's Degree in Data Science, Statistics, Computer Science, or a related field.

  • Typically, at least 8 years of experience in data science or equivalent work experience.

  • Extensive knowledge in predictive modeling, machine learning, and statistical analysis.

  • Proficiency in programming languages such as Python, R, or SQL.

  • Experience with data visualization tools like Tableau, Power BI, Qlik, Spotfire or similar.

  • Strong analytical and problem-solving skills with the ability to interpret complex data.

  • Excellent communication skills, both written and verbal, with the ability to present technical information to non-technical stakeholders.

  • Ability to work independently and as part of a team in a fast-paced environment.

  • Strong executive presence and leadership skills.

  • Excellent communication skills, with the ability to effectively engage with different levels of management.

Preferred Qualifications:

  • Experience in supply planning and forecasting within a commercial setting.

  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.

  • Knowledge of advanced machine learning techniques and frameworks.

Additional Details

This job has a full time weekly schedule.Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: https://careers.agilent.com/locationsAgilent Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.Travel Required: OccasionalShift: DayDuration: No End DateJob Function: Administration

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