Early Career Data Scientist - Perceptive Systems, Onsite

Early Career Data Scientist - Perceptive Systems, 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:

Passionate about your work and dream of joining a dynamic team that solves challenging issues for our nation’s security? Join us and unleash your potential!

We are looking for data scientists/engineers with a broad set of technical skills to take on problems across including:

Applied research across multiple mission domains

Solving Broad Data Science Problems

Machine Learning / Deep Learning Modeling and Algorithm Development

Prototyping and pathfinding new concepts to solve technology challenges which mitigate risk and provide future solutions for projects

Image and signal processing, computer vision application and research

Uncertainty Quantification for MLDL and other algorithms in high‑consequence applications

Growth and focus in data analysis across a number of sources including remote sensing, systems testers, and microscopes

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

Be a member of a group of researchers/engineers working to solve difficult scientific problems for national security purposes

Apply state‑of‑the‑art techniques which solve the most challenging data analysis problems for a wide array of customers.

Work collaboratively with customers to understand requirements, available data and mission need

Contribute to deeply rewarding missions through engagement with diverse computer science specialties and in areas such as data fusion, signal processing, analytics, cloud computing, machine learning, modeling/simulation, service‑oriented architectures, and in the future big‑data management and visualization, plus pattern recognition

Engage in Laboratory Directed Research and Development (LDRD) Proposals.

Engage in presenting, publishing and collaborating to advance groundbreaking research

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

Salary Range:

$102,400 - $199,700

* 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 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.

Qualifications We Desire:

The ideal R&D S&E, 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…