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Associate Data Scientist Jobs in Delaware (NOW HIRING)

La Red Health Center Inc

Data Analyst

Georgetown, DE · On-site

... performed by all associates in this position. The duties listed are intended to provide a ... Required: Bachelor's degree in health informatics, Data Science, Statistics, Public Health or a ...

WuXi AppTec

QC Analytical Scientist

Middletown, DE

Mentor and train QC Analysts and Associates in analytical techniques and best practices. * Other QC ... Support client and regulatory audits by presenting data, explaining technical approaches, and ...

WuXi AppTec

QC Analytical Scientist

Middletown, DE · On-site

Mentor and train QC Analysts and Associates in analytical techniques and best practices. * Other QC ... Support client and regulatory audits by presenting data, explaining technical approaches, and ...

WuXi AppTec

QC Analytical Scientist

Middletown, DE · On-site

Mentor and train QC Analysts and Associates in analytical techniques and best practices. * Other QC ... Support client and regulatory audits by presenting data, explaining technical approaches, and ...

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Showing results 21-40

All JobsAssociate Data Scientist JobsAssociate Data Scientist Jobs in Delaware

Associate Data Scientist information

See Delaware salary details

$57.5K

$68.1K

$129.1K

How much do associate data scientist jobs pay per year?

As of Aug 14, 2026, the average yearly pay for associate data scientist in Delaware is $68,097.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $59,600.00 per year, depending on experience, location, and employer.

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

AspectAssociate Data ScientistData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; certifications like Microsoft Excel or Tableau are common
Work EnvironmentCollaborates with data science teams, develops models, and analyzes complex datasetsPrepares reports, visualizes data, and provides insights for decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms focusing on predictive modelingCommon across various industries for business reporting and operational analysis

The Associate Data Scientist typically focuses on building models and advanced analytics, requiring programming skills and statistical knowledge. Data Analysts mainly interpret data through reports and visualizations, often with less emphasis on coding. Both roles are essential in data-driven organizations but differ in technical depth and responsibilities.

What are the key skills and qualifications needed to thrive as an associate data scientist, and why are they important?

To thrive as an Associate Data Scientist, you need strong analytical skills, a solid foundation in statistics, and proficiency in programming languages like Python or R, typically supported by a degree in a quantitative field. Experience with data visualization tools (e.g., Tableau), machine learning libraries (e.g., scikit-learn), and database systems (e.g., SQL) is often required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating data insights into actionable business solutions. These skills and qualities are essential for extracting valuable insights from complex data and driving data-informed decision-making within organizations.

What does an associate data scientist do?

An Associate Data Scientist supports data-driven decision-making by collecting, cleaning, and analyzing large datasets. They use statistical methods and programming languages like Python or R to identify trends, build predictive models, and generate insights for business problems. Working under the guidance of more experienced data scientists, they also help visualize data and communicate findings to technical and non-technical stakeholders. This entry-level role often involves learning new tools and techniques while contributing to real-world projects.

What are some typical projects an associate data scientist might work on, and how do they collaborate with other team members?

As an Associate Data Scientist, you can expect to contribute to a range of projects such as developing predictive models, analyzing large datasets to uncover business insights, and supporting the deployment of machine learning solutions. Collaboration is key; you'll often work closely with data engineers to prepare and process data, as well as with business analysts and product managers to align your findings with organizational goals. Regular meetings, code reviews, and knowledge-sharing sessions are common, providing opportunities to learn from senior data scientists and broaden your technical skills.

What does an associate data scientist do?

The duties of an associate data scientist are to analyze statistical data analysis on large sets and identify trends by using advanced mathematical and computer science skills. Their responsibilities often include assisting in the production of statistical models, tools, and processes. They typically are in the process of pursuing a master’s degree and report to a senior data scientist. The qualifications you need are a bachelor’s degree in statistics, computer science, or a related field as well as experience working with machine-learning and data mining algorithms.

What can I do with an associate data scientist?

An associate data scientist analyzes data to identify patterns, build models, and support decision-making using tools like Python, R, or SQL. This role often involves collaborating with teams, developing predictive models, and gaining experience to advance to more senior data science positions.
More about Associate Data Scientist jobs

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Associate Data Scientist jobs near you
Infographic showing various Associate Data Scientist job openings in Delaware as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $68,097 per year, or $32.7 per hour.

Data Analyst

La Red Health Center Inc

Georgetown, DE • On-site

Full-time

Posted 7 days ago

Job description

Description:

Job Summary:

This Data Analyst is responsible for collecting, cleaning, analyzing, and transforming complex clinical, financial, and operational datasets into actionable insights. The position supports reporting, analytics, evaluation and performance improvement efforts across the organization.

Essential Responsibilities:

The following duties are not intended to serve as a comprehensive list of all duties performed by all associates in this position. The duties listed are intended to provide a representative summary of the major duties and responsibilities. The incumbent may be required to perform additional, position-specific duties as assigned by their manager and/or LRHC Leadership.

Regulatory Reporting & Compliance

  • UDS Reporting: Manage the aggregation, validation, and submission of annual HRSA Uniform Data System (UDS) tables.
  • PCMH Maintenance: Track, analyze, and report on electronic clinical quality measures (eCQMs) required for Patient-Centered Medical Home (PCMH) recognition.
  • State & Federal Grants: Author data queries and generate structured reporting assets for federal, state, and private grant compliance (e.g., HRSA, Delaware DHSS).

Data Analysis & Business Intelligence

  • Dashboard Development: Design, deploy, and maintain interactive performance dashboards using Power BI or Tableau for clinical and administrative leadership.
  • EHR Optimization: Extract complex datasets from the Electronic Health Record (EHR) system (e.g., Epic/OCHIN, eClinicalWorks) utilizing SQL queries.
  • Ad-Hoc Analysis: Provide timely, data-driven answers to operational and clinical inquiries from executive leadership.

Quality Improvement (QI) Support

  • Clinical Metrics: Identify gaps in preventive care, chronic disease management, and social determinants of health (SDOH).
  • Population Health: Stratify high-risk patient panels to support care coordination and population health management.
  • Workflow Validation: Partner with clinical staff to evaluate data capture workflows and eliminate data entry errors at the point of care


Requirements:

Qualifications:

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or competency required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

Education/Experience/Certification:

  • Required: Bachelor’s degree in health informatics, Data Science, Statistics, Public Health or a related field.
  • Minimum of 2–3 of Data Analysis experience in a healthcare environment

Language Skills:

Bilingual (English/Spanish) preferred


Skills and Competencies:

Technical Skills

  • Knowledge of HRSA Uniform Data System reporting
  • SQL: Advanced proficiency in writing SQL queries for relational databases.
  • BI Tools: Strong development experience using Power BI, Tableau, or equivalent visualization platforms.
  • EHR Systems: Experience extracting and interpreting data directly from health IT platforms (e.g., Epic/OCHIN, eClinicalWorks, NextGen).
  • Spreadsheets: Mastery of Microsoft Excel, including complex formulas, VLOOKUPs, and pivot tables.

Knowledge & Compliance

  • Regulations: Strong foundational understanding of HIPAA regulations and data security practices regarding Protected Health Information (PHI).
  • Healthcare Coding: Familiarity with standard clinical coding systems, including ICD-10, CPT, HCPCS, and LOINC.

Equipment Operated:

Wide range of office equipment.

Enterprise server infrastructure, firewalls, network switches, and access control hardware.

High proficiency and daily use of enterprise software suites (e.g., Microsoft 365, Active Directory, Epic EHR, and helpdesk ticketing workflows).


Mental/Physical Requirements:

Frequent sitting or standing for long periods while using a computer