Sandia Corporation - Albuquerque, NM

posted 4 months ago

Part-time,Full-time - Mid Level
Remote - Albuquerque, NM
Professional, Scientific, and Technical Services

About the position

Sandia National Laboratories is seeking a Data Engineering professional to enhance analytical capabilities that facilitate data-driven decision-making. This role is pivotal in building analytic methods and tools that empower leadership to assess and adjust organizational performance effectively. The successful candidate will engage with various stakeholders across Sandia Labs, contributing to the advancement of AI/ML analytical capabilities related to performance analysis, data automation, and predictive analysis. In this dynamic and fast-paced multidisciplinary environment, you will be responsible for building and modifying databases and database management systems connections, enabling leadership to evaluate organizational performance. You will identify opportunities for enhancing analytical capabilities and develop plans for implementing recommended improvements. Collaboration across multiple functional areas to create innovative AI/ML solutions will be a key aspect of your role. Additionally, effective communication with leadership through presentations, written analyses, concise reporting, and visualizations will be essential to your success. This position offers a unique opportunity to work on world-changing technologies and contribute to national security and technology innovation. Sandia National Laboratories provides a supportive work environment with flexible work arrangements, generous vacation policies, and strong medical benefits, all aimed at fostering a solid work/life balance. Candidates will be expected to demonstrate their knowledge, skills, and abilities through relevant experience and achievements, ensuring they can perform the duties of the job effectively. The role requires a commitment to Sandia's core values and the ability to model behaviors that reflect these values in a collaborative team environment.

Responsibilities

  • Build and modify databases and database management systems connections to enable leadership in assessing organization performance.
  • Identify opportunities for advancement of analytical capabilities and craft plans for implementing recommended improvements.
  • Partner across a multitude of functional areas to craft innovative AI/ML solutions.
  • Communicate effectively and influentially to leadership using presentations, written analyses, concise reporting, and visualizations.

Requirements

  • A Bachelor's degree in a relevant field, plus 5 years related experience; or a Master's degree in a relevant field, plus 1 year related experience.
  • Ability to acquire and maintain a DOE Q-level security clearance.

Nice-to-haves

  • Graduate degree in Data Science, Computer Science, or similar STEM discipline.
  • Experience in database management systems such as Oracle, Hive, MongoDB, Hadoop.
  • Experience in designing databases to support business applications, ensuring system scalability, security, performance, and reliability.
  • Proficiency in statistical analysis languages, Object or component-oriented development software such as Python, R, JMP, MLflow, Matlab.
  • Familiarity with Machine learning and deep learning, including libraries and frameworks such as TensorFlow, PyTorch, Keras, scikit-learn.
  • Familiarity in Natural language processing frameworks and libraries.
  • Ability to identify business problems or management objectives that can be addressed through data analysis.
  • Critical thinking, synthesis and analytical skills.
  • Ability to effectively communicate AI/ML analyses to non-technical audiences.
  • Experience working within the NNSA complex.
  • Ability to track, analyze, and identify trends in data and provide effective solutions.
  • Experience in facilitating teams preparing procedures, reports, and presentations and researching and obtaining information.
  • Superb communication, collaboration, and people skills with proven ability to perform effectively in a teaming environment.
  • Experience building and maintaining diverse, teaming relationships at all levels of internal and external organizations.
  • Active DOE Q or DoD TS Security Clearance.

Benefits

  • Generous vacations
  • Strong medical benefits
  • Competitive 401k
  • Learning opportunities
  • Relocation assistance
  • Flexible work arrangements including 9/80 and 4/10 workweeks
  • Telecommuting options
  • Amenities aimed at creating a solid work/life balance.
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