Principal Data Scientist

AlphaX

13d • Remote

About The Position

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. The Workforce Intelligence Lab (WIL) is an applied workforce research initiative that builds methodology-transparent workforce intelligence, including labor demand signals, occupational and credential pathways, and training-to-employment outcome measures. It works with education, employer, research, and community partners to turn evidence into grant and sponsored-project collaborations.

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. WIL will ask before naming the candidate or including their resume in any proposal.

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 working as a project-based contract collaborator; remote US.

Nice To Haves

• PhD preferred in computer science, statistics, economics, or a related field.
• Prior federal research or small-business innovation award as PI or co-PI.
• Workforce, labor-market, or health-program data experience.

Responsibilities

• 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 authorized to be named.

What This Job Offers

• Career Level: Principal
• Education Level: No Education Listed