Senior​/Principal R&D Data Science - Optimization, Onsite

Senior/Principal R&D Data Science - Optimization, Onsite

Sandia National Laboratories is the nation’s premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting‑edge work in a broad array of areas. Some of the main reasons we love our jobs:

Challenging work with amazing impact that contributes to security, peace, and freedom worldwide

Extraordinary co‑workers

Some of the best tools, equipment, and research facilities in the world

Career advancement and enrichment opportunities

Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten‑hour days each week) compressed workweeks, part‑time work, and telecommuting (a mix of onsite work and working from home)

Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance*

World‑changing technologies. Life‑changing careers. Learn more about Sandia at: http://(Use the "Apply for this Job" box below)..gov

* These benefits vary by job classification.

What Your Job Will Be Like:

We are seeking an R&D Optimization Researcher to join the Operations Research and Computational Analysis Department. The Optimization Researcher will conduct research and serve as a consultant to staff working on advanced optimization models. The successful candidate will bring the skills, knowledge, and technical experience needed to solve the group's most difficult optimization models applied to national security problems. The candidate will grow a portfolio based on their expertise in Mixed‑Integer Programming or a related field of optimization, and a demonstrated history of technical leadership in this space.

On any given day, the successful candidate may be called on to:

Develop reformulations, optimization techniques, or advanced algorithms for solving difficult discrete optimization models.

Create new optimization models for problems across various science and engineering domains.

Present model applications and results at customer briefings and conferences.

Work closely with analysts and software engineers to develop models into applications.

Publish research in journals, conference papers, and technical reports.

Due to the nature of the work, the selected applicant must be able to work onsite.

Salary Range:

$117,500 - $235,700

* Salary range is estimated, and actual salary will be determined after consideration of the selected candidate's experience and qualifications, and application of any approved geographic salary differential.

Qualifications We Require:

A Bachelor's degree in a relevant discipline and five (5) years of directly relevant experience, or an equivalent combination of directly relevant education and engineering or scientific experience that demonstrates the knowledge, skills, and ability to perform independent research and development.

Ability to obtain and maintain a DOE Q and SCI clearance which may require a polygraph test.

Qualifications We Desire:

The ideal R&D Data Science candidate for Sandia National Laboratories will in addition possess the following:

Graduate degree in a relevant computationally‑intensive discipline where an independent research project was a graduation requirement (e.g., independent project, thesis, or dissertation).

Experience in developing software for enterprise and national security applications.

Experience acquiring, preparing, and analyzing real‑world data.

Demonstrated software development skills and familiarity with modern software development practices.

Proven ability to work and communicate effectively in a collaborative and interdisciplinary team environment.

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