Optimization Scientist for Autonomous Manufacturing
Hadrian Automation
Los Angeles (CA)
On-site
USD 160,000 - 240,000
Full time
14 days+
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Benefits offered by this job
Medical, dental, vision, and life insurance plans
401k
Flexible vacation policy
Job summary
A leading aerospace manufacturing firm in Los Angeles is seeking an Operations Research Scientist to optimize manufacturing processes. In this role, you will develop and implement algorithms to improve scheduling, capacity planning, and resource allocation. Your work will directly impact production efficiency and cost reduction. Candidates should have strong expertise in optimization methods and a solid foundation in Python. The target salary range is $160,000 to $240,000, along with comprehensive benefits and a flexible vacation policy.
Qualifications
Ability to translate business problems into mathematical models.
Experience deploying optimization models in production.
Excellent communication skills for technical and non-technical audiences.
Responsibilities
Drive manufacturing excellence through advanced optimization.
Build systems that optimize production queues and tool utilization.
Document algorithms and train operations teams.
Skills
Expert knowledge of optimization solvers
Strong background in mathematical optimization
Experience with production scheduling and capacity planning
Proficiency in Python and optimization libraries
Understanding of manufacturing processes and constraints
Strong statistical and analytical skills
Job description
A leading aerospace manufacturing firm in Los Angeles is seeking an Operations Research Scientist to optimize manufacturing processes. In this role, you will develop and implement algorithms to improve scheduling, capacity planning, and resource allocation. Your work will directly impact production efficiency and cost reduction. Candidates should have strong expertise in optimization methods and a solid foundation in Python. The target salary range is $160,000 to $240,000, along with comprehensive benefits and a flexible vacation policy.