General Matter

Statistician

Los Angeles, CA · Staff+ · Full-time

Sponsorship not specified$75k-$120kDetected 8 days ago

StatisticsCommunicationProblem Solving

About the role

This program is key to ensuring the safe, secure, and compliant management of nuclear material.
This role is ideal for someone with strong math skills who can apply them to real-world measurements and are keenly detail oriented to ensure accurate documentation and reporting for compliance.
You will work alongside engineers to ensure accurate tracking of nuclear materials in compliance with NRC regulations.

Perform basic statistical calculations to support inventory checks and material balances.
Help design and check forms, spreadsheets, and databases used for MC&A reporting.
Support periodic physical inventories and reconcile records with actual counts.
As a Statistician, you will support General Matter's Nuclear Material Control & Accountability program.

Bachelor's degree in Math, Statistics,, Physics, or a related field.
Proficiency in advanced math fundamentals, including algebra, probability, and descriptive statistics (means, variance, standard deviation, error propagation).
Proficiency in Excel.
Experience in a fast-paced engineering environment or a highly technical role requiring a resourceful, entrepreneurial approach to complete tasks within tight timeframes or budget constraints.
Strong verbal and written communication skills, with the ability to convey math concepts clearly to diverse audiences.
Ability to work collaboratively in a team-oriented environment.
Willingness and ability to quickly learn regulatory requirements.
Familiarity with physics or chemistry concepts.
Ability to work extended hours and weekends as necessary.

The base salary range for this role is $75,000-$120,000 annually.
Individual level and base pay is determined on a case-by-case basis and may vary based on job-related skills, education, experience, technical capabilities and internal equity.
Please note that the stated salary range is an estimate and may be adjusted based on market conditions, business needs, or other factors.
In addition to base salary, for full-time hires, you may also be eligible for long-term incentives, in the form of stock options, and access to medical, vision & dental coverage as well as access to a 401(k) retirement plan.

General Matter enriches uranium.
We are designing, building, and operating the world's lowest-cost enrichment services, here in the US.
In the process, we are restoring America's ability to produce nuclear fuel to power AI, advanced manufacturing and critical industries our country relies on to remain competitive.
Fuel drives the cost of advanced reactor electricity production, and enrichment drives the cost of the fuel that advanced reactors consume.
Reliable, low-cost enrichment is the catalyst for the nuclear Renaissance now under way.
Our mission is to make nuclear not only the cleanest and safest source of baseload power, but also the most affordable.
We believe abundant nuclear energy will lead to a post-scarcity society.
We were incubated inside Founders Fund, like Anduril and Palantir before us, and are backed by over a dozen of the world's top venture capital firms.
Our lean, world-class team of engineers and operators is applying a first-principles approach to solving the problem of nuclear fuel production.
We are a mission-driven company with a culture of urgency, accountability, and transparency.
Help us build a high-energy society by making the cleanest, safest form of baseload energy the most affordable.

Employer
General Matter is an Equal Opportunity Employer
employment with General Matter is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
Compensation and Benefits

This listing is sourced directly from General Matter's careers page and normalized into a canonical job model.