🕒 3 days ago
Build and own production models that match auto insurance shoppers to carriers and guide media buying, using delayed conversion data while addressing sparse sessions, repeat users, feedback loops, and market drift.
Principal Data Scientist
🕒 yesterday
AIMachine LearningApplied Data SciencePython
📜 Description
- Serve as PI or co-PI on AI and workforce data-science research proposals.
- Design research questions, data pipelines, and machine-learning or statistical methods.
- Lead dataset creation, documentation, and responsible-AI practices.
- Supervise analysts and coordinate with domain and implementation partners.
- Write technical proposal sections, project descriptions, and data-management plans.
- Contribute qualifications and past-performance narratives to proposals when authorized.
🛠️ Requirements
- Track record leading AI, machine-learning, or applied data-science research projects
- Publications, funded projects, or shipped products demonstrating research leadership
- Experience writing technical sections of research or innovation grant proposals
- Strong Python/R and data-engineering skills
- Comfortable as a project-based contract collaborator; remote US
- PhD preferred (computer science, statistics, economics, or related field)
- Prior federal research or small-business innovation award as PI or co-PI
- Workforce, labor-market, or health-program data experience
Full job description
WIL is seeking a Principal Data Scientist to lead AI and machine-learning research on workforce and public-program data as principal investigator on federally funded projects.
About the Workforce Intelligence Lab (WIL)
The Workforce Intelligence Lab (WIL) is an applied workforce research initiative. WIL builds methodology-transparent workforce intelligence, including labor demand signals, occupational and credential pathways, and training-to-employment outcome measures, and works with education, employer, research, and community partners to turn that evidence into grant and sponsored-project collaborations. Learn more: https://wilinstitute.org
Opportunity type: this is a contingent proposal opportunity in WIL's expert collaborator network, not a funded vacancy. It supports a competitive grant application WIL is preparing; no award has been made, and there is no guaranteed work or funding. If an award proceeds and the staffing model calls for it, WIL may offer a project-based contract or consulting engagement. We will ask before naming you or including your resume in any proposal.
What you'll do
- Serve as principal investigator or co-PI on AI and workforce data-science research proposals
- Design research questions, data pipelines, and machine-learning or statistical methods
- Lead dataset creation, documentation, and responsible-AI practices
- Supervise analysts and coordinate with domain and implementation partners
- Write technical sections, project descriptions, and data-management plans
- Contribute qualifications and past-performance narrative to WIL proposals when you authorize naming
Apply to be considered.
Requirements
Required
- Track record leading AI, machine-learning, or applied data-science research projects
- Publications, funded projects, or shipped products demonstrating research leadership
- Experience writing technical sections of research or innovation grant proposals
- Strong Python/R and data-engineering skills
- Comfortable as a project-based contract collaborator; remote US
Nice to have
- PhD preferred (computer science, statistics, economics, or related field)
- Prior federal research or small-business innovation award as PI or co-PI
- Workforce, labor-market, or health-program data experience
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