Early Career Data Science – Z Machine Operations, Onsite

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Job Description

About Sandia:

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://www.sandia.gov

*These benefits vary by job classification.

What Your Job Will Be Like:

We are seeking a highly motivated and inquisitive individual to establish a data science and data engineering capability within the Z Machine Operations group (1670). This role is essential in harnessing data to drive innovative solutions that enhance our experimental capabilities and operational efficiency. As a member of our cross-functional team, you will have the opportunity to contribute to cutting-edge research and technology in a dynamic and collaborative environment.

In this position, you will work closely with the IT Infrastructure and Operations team, as well as other key stakeholders inside and outside of the group, to understand our data needs and design effective data infrastructure solutions. You will leverage advanced data analytics, including AI and machine learning, to explore and develop solutions that support Z operations. This role requires a strong foundation in data science, strong interpersonal skills, and a passion for applying data-driven insights to real-world challenges. Additionally, this role requires self-direction and the ability to work in ambiguity.

On any given day, you may be called on to:

  • Identify and address data infrastructure needs, designing and developing data infrastructure solutions, including physical hardware (servers and storage arrays) and data platforms (e.g. relational databases, document databases, APIs).
  • Work as a member of a cross-functional team to develop comprehensive data governance and data management plans.
  • Utilize advanced data analytics techniques, including AI/ML, to explore solutions related to Z operations. Example areas might include:
  • Develop reusable processes, tools and pipelines for data processing (e.g. ETL, image pre-processing, metadata collection).
  • Develop and maintain documentation related to data processes, governance, and management.

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

Salary Range:

$99,400 – $193,600

*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:

  • Bachelor’s degree in a relevant field such as Data Science, Computer Science, Statistics, Mathematics, Management of Information Systems or a related STEM field, or equivalent experience in lieu of degree must be engineering or scientific experience that demonstrates the knowledge, skills, and ability to perform independent research and development
  • Experience with data analysis and visualization tools (e.g., Python, R, SQL, Tableau)
  • Familiarity with machine learning algorithms and frameworks (e.g., TensorFlow, Scikit-learn)
  • Ability to obtain and maintain a DOE Q Security Clearance

Qualifications We Desire:

  • Master’s degree in a relevant field
  • Experience designing and implementing data infrastructure solutions
  • Knowledge of data governance principles and best practices
  • Experience with exploratory data analysis methods and tools
  • Familiarity with cloud computing platforms (e.g., AWS, Azure) and data storage paradigms
  • Demonstrated ability to work collaboratively with and across multiple teams
  • Experience working in classified environments
  • Familiarity with Sandia’s corporate services and corporate storage repositories
  • Current DOE L or Q security clearance

About Our Team:

The Z Data Management & Insights department, org. 1678, provides Information Technology and Operational Technology infrastructure, products, and services for the Z Machine enterprise in the Pulsed Power Sciences center, center 1600. Additionally, the department is tasked with developing and implementing data management strategies for Z facility data, including facilitating the implementation of Artificial Intelligence (AI) and Machine Learning (ML) solutions using Z data. This work is accomplished through collaborations with operations, engineering, science, and program teams. Solutions address quality, efficiency, safety, and security that are well-aligned to achieving, and enabling, the scientific goals of the programs performing experiments at Z. The department¿s teams consist of an IT infrastructure operations team, an application solutions team, a Control, Monitor and Data Acquisition (CM/DAS) team, and a web content management team. This team is part of the Radiation, Electrical and High Energy Density Science (REHEDS) Research Foundation at Sandia.

Posting Duration:

This posting will be open for application submissions for a minimum of seven (7) calendar days, including the ‘posting date’. Sandia reserves the right to extend the posting date at any time.

Security Clearance:

Sandia is required by DOE to conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Applicants for employment need to be able to obtain and maintain a DOE Q-level security clearance, which requires U.S. citizenship. If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain a security clearance may be impacted.

Applicants offered employment with Sandia are subject to a federal background investigation to meet the requirements for access to classified information or matter if the duties of the position require a DOE security clearance. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause a clearance to be denied or terminated by DOE, resulting in the inability to perform the duties assigned and subsequent termination of employment.

EEO:

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law.

NNSA Requirements for MedPEDs:

If you have a Medical Portable Electronic Device (MedPED), such as a pacemaker, defibrillator, drug-releasing pump, hearing aids, or diagnostic equipment and other equipment for measuring, monitoring, and recording body functions such as heartbeat and brain waves, if employed by Sandia National Laboratories you may be required to comply with NNSA security requirements for MedPEDs.

If you have a MedPED and you are selected for an on-site interview at Sandia National Laboratories, there may be additional steps necessary to ensure compliance with NNSA security requirements prior to the interview date.

Job ID: 695674

Job Family: RD

Regular/Temporary Position: R

Full/Part-Time Status: F

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

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