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 an experienced Data Analyst 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 the organization's performance effectively. The successful candidate will engage with various customers 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 partner with multiple functional areas to develop innovative AI/ML solutions. Your responsibilities will include building and modifying databases and database management systems connections, enabling leadership to assess organizational performance. You will also identify opportunities for enhancing analytical capabilities and create plans for implementing recommended improvements. Effective communication is crucial, as you will be expected to present analyses, reports, and visualizations to leadership in a clear and influential manner. This position offers a unique opportunity to work on world-changing technologies and contribute to national security and technology innovation. With a focus on collaboration and teamwork, you will be part of a centralized hub that provides corporate-level measures, metrics, dashboards, and AI/ML tools to support data-driven decisions at Sandia.

Responsibilities

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

Requirements

  • A Master's degree in a relevant field, plus (1) years related experience; or A Bachelor's degree in a relevant field, plus (5) years related experience; (Relevant fields may include STEM Degrees, Data Science, Computer Science, Statistics, Systems Engineering, Information Technology, or comparable)
  • The 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 data base management systems such as Oracle, Hive, MongoDB, Hadoop
  • 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.
  • The ability to model behaviors that reflect Sandia's core values
  • Active DOE Q or DoD TS security clearance.

Benefits

  • Generous vacations
  • Strong medical and other benefits
  • Competitive 401k
  • Learning opportunities
  • Relocation assistance
  • Flexible work arrangements including 9/80 and 4/10 workweeks
  • Telecommuting options
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