1

Database Scientist Jobs in Delaware (NOW HIRING)

... Science, Life Sciences, or a related field. Preferred : • Experience with LabWare Pharma Template. • Knowledge of SQL and relational databases. • Familiarity with integration tools and ...

SHE Specialist

Wilmington, DE · On-site

$40K - $52K/yr

Partner with IT and database administrators to optimize data structures, implement data quality ... Bachelor's degree in Chemistry, Toxicology, Environmental Science, or a related scientific ...

Principal Engineer - AI Platform

Wilmington, DE · On-site

$131K - $175K/yr

Collaborate with data scientists to understand model requirements and optimize infrastructure ... Design and implement database schemas and queries for relational, NoSQL and Graph databases

Principal Engineer - AI Platform

Wilmington, DE · On-site

$131K - $175K/yr

Collaborate with data scientists to understand model requirements and optimize infrastructure ... Design and implement database schemas and queries for relational, NoSQL and Graph databases

Sample Receipt Specialist

Newark, DE · On-site

$41K - $43K/yr

This role requires comfort with computer systems and databases, as well as the ability to work ... Associate's degree in related science discipline, Bachelor's degree preferred * High School Diploma ...

Sample Receipt Specialist

Newark, DE · On-site

$41K - $43K/yr

This role requires comfort with computer systems and databases, as well as the ability to work ... Associate's degree in related science discipline, Bachelor's degree preferred * High School Diploma ...

Principal Engineer - AI Platform

Wilmington, DE · On-site

$131K - $175K/yr

Collaborate with data scientists to understand model requirements and optimize infrastructure ... Design and implement database schemas and queries for relational, NoSQL and Graph databases

Java Developer

Wilmington, DE · On-site

$49.50 - $64/hr

Design RESTful APIs and integrate with NoSQL/Relational databases (e.g., PostgreSQL, MongoDB ... Bachelor's Degree in Computer Science or a related field. * 3+ years of professional experience in ...

Showing results 21-40

Database Scientist information

See Delaware salary details

$46K

$165.2K

$243.7K

How much do database scientist jobs pay per year?

As of Sep 14, 2026, the average yearly pay for database scientist in Delaware is $165,160.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,600.00 and $170,100.00 per year, depending on experience, location, and employer.

What is a database scientist?

A Database Scientist is a professional who specializes in designing, managing, analyzing, and optimizing large volumes of structured and unstructured data stored in databases. They use advanced data science techniques, statistical analysis, and programming skills to extract valuable insights from complex datasets. Database Scientists often work with big data technologies, data warehousing solutions, and machine learning algorithms to help organizations make data-driven decisions. Their responsibilities may also include ensuring data quality, developing data models, and collaborating with other IT and business professionals.

How do database scientists typically collaborate with data engineers and analysts on large-scale projects?

Database Scientists often work closely with data engineers to design, optimize, and maintain data infrastructure that supports advanced analytics and machine learning workloads. They also collaborate with data analysts by providing clean, well-structured datasets and building data pipelines to facilitate insightful reporting and decision-making. Effective communication and a shared understanding of project goals are crucial, as Database Scientists bridge the gap between raw data management and actionable insights. This teamwork ensures data integrity, scalability, and the successful deployment of data-driven solutions.

What are the key skills and qualifications needed to thrive as a database scientist, and why are they important?

To thrive as a Database Scientist, you need a strong background in database management, data modeling, and advanced analytical techniques, often supported by a degree in computer science, statistics, or a related field. Familiarity with SQL, NoSQL databases, big data platforms (like Hadoop or Spark), and certifications such as Microsoft Certified: Azure Data Scientist Associate are typically required. Strong problem-solving, communication, and critical thinking skills help translate complex data insights into actionable business strategies. These skills are crucial for effectively managing, analyzing, and leveraging data to drive informed decision-making and innovation.

What is the difference between Database Scientist vs Data Analyst?

AspectDatabase ScientistData Analyst
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related fields; knowledge of SQL, Python, RBachelor's or Master's in Statistics, Data Analysis, or related fields; proficiency in Excel, SQL, visualization tools
Work EnvironmentResearch-focused, often in tech or data-driven companies, developing models and algorithmsBusiness-focused, analyzing data to generate reports and insights for decision-making
Employer & Industry UsageTech firms, research institutions, large enterprises with complex data needsRetail, finance, marketing, and other industries requiring data interpretation

While both roles involve working with data, a Database Scientist primarily develops advanced data models and algorithms, often in research or technical environments. In contrast, a Data Analyst focuses on interpreting data to provide actionable insights for business decisions. Understanding these differences helps in choosing the right career path or job search focus.

Principal Research Strategist & Academic Indexing Director

Wilmington, DE • Remote

$100 - $1.0K/day

Full-time

Posted 11 days ago


Job description

This is a remote position.

Job Brief Description

The Principal Research Strategist & Academic Indexing Director serves as the intellectual architect at the intersection of enterprise operations and academic-grade scholarship. In an era saturated with generic digital noise and unverified claims, this partner leads our Academic & Industrial Research Indexing stream, transforming raw corporate data, proprietary operational methodologies, and complex industrial datasets into formal, peer-reviewed, citable literature.

The Director oversees the complete conversion lifecycle—from raw data audits and IMRAD structural modeling to simulated double-blind peer-review panels and formal indexing across international citation databases (Scopus, Web of Science, PubMed, IEEE). The role collaborates directly with C-suite executives, Chief Scientific Officers, and multilateral policy directors to convert proprietary organizational discoveries into undisputed commercial and intellectual authority.

Required Skills & Competencies

(Sourced directly from the DADYMINDS Unit Employee Skill Set Framework)

Primary Hard & Technical Competencies
  1. Academic Research Architecture & IMRAD Structuring: Mastery in structuring unstructured enterprise data into rigorous academic publication formats (Introduction, Methods, Results, Discussion) compliant with global academic standards.

  2. Bibliographic Indexing & Citation Management: Advanced technical execution of citation architectures across Chicago, APA, IEEE, and Harvard standards, utilizing scientific reference databases and Bib\TeX/LaTeX engines.

  3. Quantitative Data Visualization & Information Graphics: Translating empirical data tables, econometrics, and statistical models into publication-ready figures, schematics, and vector charts.

  4. Proprietary Knowledge Auditing & IP Extraction: Conducting structured diagnostic interviews to capture undocumented scientific and operational breakthroughs from subject matter experts.

  5. Intellectual Property Structuring & Copyright Licensing: Navigating institutional open-access protocols, Creative Commons frameworks, Digital Object Identifier (DOI) assignments, and sovereign author-retention rights.

Secondary Strategic & Operational Competencies
  1. Digital Rights Management (DRM) & Cloud Data Security: Implementing zero-leak data governance, secure vault storage, and encryption protocols for highly sensitive enterprise R&D before publication.

  2. Library Consortium & Academic Outreach: Direct engagement with university repository curators, institutional librarians, and academic consortiums to secure indexing and catalog placement.

  3. Rapid Crisis Communication & Editorial Fact-Checking: Rigorous verification of empirical statistics, methodology integrity, and avoidance of reproducibility traps or flawed datasets.

  4. Diagnostic Client Elicitation & Elite Interviewing: Leading empathetic, intellectually acute discovery sessions with time-constrained C-suite leaders and lead scientists.

  5. Cross-Unit Ecosystem Synchronization: Seamlessly synchronizing research deliverables with the DADYMINDS Big 8 ecosystem (Legal & Compliance, Tech Innovation, and Executive Coaching).

Core Responsibilities & Deliverables
  • Data Conversion & Structuring Pipelines: Audit raw client experiments, white papers, and corporate case studies to engineer them into formal IMRAD-compliant papers and citable enterprise white papers.

  • Internal Peer-Review Simulation: Direct structured internal peer-review protocols to validate statistical power, methodology rigor, and peer-readiness before public submission.

  • Citable Literature & Indexing Deployment: Oversee metadata engineering, DOI generation, and catalog packaging across major open-access indexing registries and research networks.

  • Thought-Leadership Commercialization: Co-develop client-facing white papers that translate empirical validation into enterprise sales collateral and high-value consulting assets.

  • Practice Leadership: Serve as the strategic lead for the Academic & Industrial Research Indexing stream, guiding unit analysts, data visualizers, and academic editors.



RequirementsCandidate Requirements
A. Education & Academic Pedigree
  • Master’s Degree (Required), Ph.D. Preferred in Quantitative Research, Economics, Data Science, Public Policy, Applied Sciences, or a related technical/STEM discipline.

  • Proven track record of authored, co-authored, or strategically edited peer-reviewed papers published in indexed international journals.

B. Professional Experience
  • 5+ years of professional experience in academic publishing, institutional research think tanks, management consultancy research wings, or enterprise R&D.

  • Demonstrable experience leading multidisciplinary research projects, managing journal submissions, or directing institutional publication workflows.

  • Strong background working directly with senior corporate leaders, university deans, or international NGO executives.

C. Tech Stack & Infrastructure Mastery
  • Scientific Typesetting & Document Engines: Advanced proficiency in LaTeX, Overleaf, and Markdown document pipelines.

  • Reference & Citation Software: Expert mastery of Zotero, Mendeley, EndNote, and Bib\TeX.

  • Data Visualization & Analytics: Proficiency with R (ggplot2), Python (matplotlib/seaborn), or professional statistical suites (SPSS, Stata) alongside Adobe Illustrator for publication-grade charting.

  • Enterprise Cloud & Collaboration: DADYMINDS Secure Cloud Vaults, Zoho Docs Collaboration Suite, and institutional repository metadata protocols (OAI-PMH, Dublin Core).

D. Mindset & Personality Attributes
  • Uncompromising Intellectual Rigor: Zero tolerance for rhetorical fluff, unverified data claims, or academic shortcuts.

  • Executive Poise: Ability to command intellectual respect when advising C-suite leaders, senior scientists, and institutional boards.

  • Sovereign Problem-Solver: Entrepreneurial drive to establish new operational standards without needing continuous oversight.

  • Cognitive Versatility: Fluency in translating deep technical/scientific concepts into clear executive summaries.



BenefitsWhy Join DADYMINDS? (Partner Value Proposition)
  • Sovereign Impact: Break free from bureaucratic academic silos and traditional publishing houses. At DADYMINDS, you engineer research that directly influences global industry policies, capital allocation, and enterprise operations.

  • The Big 8 Ecosystem Advantage: You are supported by a complete multi-disciplinary infrastructure—including internal legal compliance teams, technology engineers, and executive designers—freeing you to focus purely on intellectual excellence.

  • Uncapped Partner Economics: Consulting Partners participate in premium project margins, intellectual property productization royalties, and high-ticket enterprise retainers.

  • Direct Influence on Global Advancement: Publishing profits and indexed research produced by this unit directly seed social advancement initiatives through the DADYMINDS Humanity Foundation and Education Advancement chapters.