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Remote Cfa Data Science Jobs in Delaware (NOW HIRING)

Senior AI Engineer

Wilmington, DE Β· On-site +1

$101K - $139K/yr

This is a remote role and will report directly to the Head of Data Science & AI. The role willidentify,solution, build, and launch GenAI products & traditional apps in all areas of the company ...

$40/hr

Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

$40/hr

Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

$40/hr

Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

$40/hr

Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

$40/hr

Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

$40/hr

Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

$40/hr

Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Showing results 21-40

Remote Cfa Data Science information

What is a remote CFA Data Science?

Remote CFA Data Science jobs are positions that combine expertise in data science with knowledge of finance, specifically leveraging the Chartered Financial Analyst (CFA) credential. Professionals in these roles analyze financial data, build predictive models, and provide insights to guide investment decisionsβ€”all while working remotely. These jobs typically require strong quantitative skills, proficiency in programming languages like Python or R, and a deep understanding of financial markets. The remote aspect allows for flexible work arrangements, enabling professionals to contribute from anywhere in the world.

What are the key skills and qualifications needed to thrive as a remote CFA Data Science professional?

To excel as a Remote CFA Data Science professional, you typically need a solid background in quantitative analysis, financial modeling, and data science, with a CFA designation and a degree in finance, statistics, or a related field. Familiarity with tools such as Python, R, SQL, and financial analytics platforms, along with proficiency in data visualization software, is essential. Strong problem-solving abilities, communication skills, and self-motivation are vital soft skills for effective collaboration and independent remote work. These competencies ensure accurate financial insights, efficient data-driven decision-making, and effective teamwork across distributed environments.

How do remote CFA Data Science professionals typically collaborate with cross-functional teams despite working remotely?

Remote CFA Data Science professionals often collaborate with investment analysts, portfolio managers, and IT teams through digital communication tools like Slack, Zoom, and project management platforms. Regular virtual meetings, shared dashboards, and collaborative coding environments help streamline workflow and ensure everyone stays aligned on project goals. While time zone differences or limited face-to-face interaction can be challenging, clear documentation and proactive communication are key strategies to maintain effective teamwork.

What is the difference between Remote Cfa Data Science vs Remote Cfa Investment Analyst?

AspectRemote Cfa Data ScienceRemote Cfa Investment Analyst
CredentialsCFA Charter, Data Science skillsCFA Charter, Investment analysis skills
Work EnvironmentData analysis, modeling, programmingFinancial research, portfolio management
Industry UsageFinance, tech, data-driven firmsAsset management, investment firms

Remote Cfa Data Science focuses on applying data analysis and modeling techniques within finance, often requiring programming skills alongside CFA credentials. In contrast, Remote Cfa Investment Analysts primarily conduct financial research and portfolio analysis. Both roles are CFA-certified and operate in finance but differ in daily tasks and skill sets.

What are popular job titles related to Remote Cfa Data Science jobs in Delaware?

For Remote Cfa Data Science jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Remote Cfa Data Science jobs in Delaware look for?

The top searched job categories for Remote Cfa Data Science jobs in Delaware are:

What cities in Delaware are hiring for Remote Cfa Data Science jobs?

Cities in Delaware with the most Remote Cfa Data Science job openings:

Infographic showing various Remote Cfa Data Science job openings in Delaware as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Principal Research Strategist & Academic Indexing Director

Wilmington, DE β€’ Remote

$100 - $1.0K/day

Full-time

Posted 9 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.