Senior R&D Data Science: Optimization Leader

Sandia National Laboratories; New Mexico; On-site; USD 118,000 - 236,000; Full time

Benefits offered by this job

Relocation assistance

Flexible work arrangements

Comprehensive benefits

Job summary

Sandia National Laboratories is seeking a Senior/Principal R&D Data Science - Optimization, onsite in Albuquerque, NM. The role focuses on developing optimization models, MIP methods, and data-driven analytics for national security problems.

The successful candidate will lead research, collaborate with analysts and software engineers, publish results, and may require DOE Q/SCI clearance. Onsite work is required; relocation and comprehensive benefits are provided.

Qualifications

• Bachelor's degree and five years of directly relevant experience or equivalent.
• Ability to obtain and maintain a DOE Q and SCI clearance.
• PhD in Operations Research/Industrial Engineering/CS or a Master's with 5+ years.
• Experience with mixed-integer programming (MIP).
• Experience leading proposal development and project teams.

Responsibilities

• Develop reformulations, optimization techniques, or advanced algorithms for discrete optimization.
• Create new optimization models for problems across 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.

Skills

Optimization

Data science

MIP

Software dev

Education

Bachelor's degree

PhD in OR/IE/CS or MS+5 years

Job description

Sandia National Laboratories is seeking a Senior/Principal R&D Data Science - Optimization, onsite in Albuquerque, NM. The role focuses on developing optimization models, MIP methods, and data-driven analytics for national security problems.

The successful candidate will lead research, collaborate with analysts and software engineers, publish results, and may require DOE Q/SCI clearance. Onsite work is required; relocation and comprehensive benefits are provided.