Strategic Projects Lead

Posted 3 Days Ago
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San Francisco, CA, USA
In-Office
150K-225K Annually
Entry level
Professional Services • Consulting
The Role
Serve as the scientific authority for a technical discipline, define quality standards and dataset specifications, and lead specialist contributors producing research-grade datasets for advanced model training and evaluation. Own projects from scoping through delivery, collaborate with external organizations, and support operational initiatives. The role requires a quantitative doctorate or equivalent distinction, Python or statistical programming experience, strong research rigor, and full-time on-site work in San Francisco.
Summary Generated by Built In

About the company

Our client is a fast-growing technology company.

The role

Raydar is recruiting for this role on behalf of our client. Serve as the in-house scientific authority for a technical discipline, shaping the standards that research-grade datasets must meet. Own projects from planning through delivery while directing groups of specialist contributors in a fast-paced, high-stakes setting.

What you'll do

- Act as the internal subject-matter authority for your scientific discipline and set the quality standard for the datasets the team produces.

- Draft dataset specifications and evaluation criteria that guide how advanced models are trained and assessed.

- Recruit, lead and coordinate groups of specialist contributors to deliver rigorous work at scale.

- Own key projects end-to-end, from scoping and execution through iteration and delivery.

- Partner with external organizations on new data solutions and support broader operational initiatives.


Requirements

What we're looking for

- A doctorate, finished or nearly finished, in a natural science, mathematics, statistics or a closely related quantitative discipline, or comparable distinction through top placement in elite math, science or programming contests.

- Hands-on skill with a scripting or statistical programming language for analyzing data, such as Python.

- Willingness to put in 60+ hours per week when the work demands it.

- Ability to work on-site five days a week, with a half-day or remote work on Sundays.

- An entrepreneurial, high-ownership mindset combined with the rigor of a trained researcher.

Bonus points

- Internship or fellowship at a highly regarded company or research lab.

- Degree from a top-20 STEM program.

- Familiarity with how large language models are trained, fine-tuned or evaluated.


Benefits

Compensation and benefits

- Base salary: USD 150,000 to 225,000 per year

- Equity

Location and work model

- San Francisco, CA, United States

- On-site, 5 days a week in the office, plus a half-day or remote on Sundays

- Full-time

Skills Required

  • Doctorate, completed or nearly completed, in natural science, mathematics, statistics, or a closely related quantitative discipline; or comparable distinction through top placement in elite math, science, or programming contests.
  • Hands-on experience with a scripting or statistical programming language for data analysis, such as Python.
  • Willingness to work 60 or more hours per week when required.
  • Ability to work on-site five days per week, with a half-day or remote work option on Sundays.
  • Entrepreneurial, high-ownership mindset combined with the rigor of a trained researcher.
  • Internship or fellowship at a highly regarded company or research lab.
  • Degree from a top-20 STEM program.
  • Familiarity with large language model training, fine-tuning, or evaluation.
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The Company
28 Employees
Year Founded: 2021

What We Do

Raydar is a talent acquisition and business consulting firm that connects world-class and emerging talent with growing organizations. It supports companies through team development, strategic hiring, and customized growth solutions, helping clients recruit roles such as engineers, product managers, executives, legal counsel, and quantitative traders. Raydar focuses on understanding each organization’s needs, culture, and long-term goals to build high-impact teams.

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