Energy Job Search ยท 7 hours ago
Data Scientist
Menlo Park, CA
Full-time
Onsite
Senior Level
$174K/yr - $240K/yrEnergy Job Search is focused on providing job opportunities in the energy sector, and they are seeking a Data Scientist responsible for conducting undirected research and tackling open-ended data problems. The role involves generating innovative ideas, applying theoretical and engineering knowledge to solve industrial problems, and collaborating with engineers to identify key health monitoring parameters of a system.
Staffing & Recruiting
Responsibilities
Research and assess next-generation technologies for machinery diagnostics and prognostics and data-driven modeling and optimization of complex systems
Demonstrate advanced working knowledge and experience with machine learning algorithms and population-based meta-heuristic optimization methods
Generate innovative ideas, establish new research directions, and shape and execute on technical projects
Maintain state-of-the-art knowledge and contribute to technical discussions and reviews as an expert in related areas of responsibility
Apply theoretical knowledge to solve industrial problems
Apply engineering knowledge in developing data-driven algorithms for anomaly detection, failure prediction and optimization
Collaborate with field and product engineers to identify key health monitoring parameters of a system
Process large multivariate data sets collected from equipment operations, manufacturing tests and diagnostic routines
Communicate ideas, plans and results effectively via oral and written reports
Qualification
Required
Advanced degree in a quantitative field such as computer science, physics, statistics or applied mathematics
Knowledge to invent new algorithms to solve data problems
Advanced working knowledge and experience with machine learning algorithms
Experience with population-based meta-heuristic optimization methods
Ability to generate innovative ideas and establish new research directions
Ability to shape and execute on technical projects
State-of-the-art knowledge in related areas of responsibility
Ability to apply theoretical knowledge to solve industrial problems
Engineering knowledge in developing data-driven algorithms for anomaly detection, failure prediction and optimization
Ability to collaborate with field and product engineers to identify key health monitoring parameters of a system
Ability to process large multivariate data sets collected from equipment operations, manufacturing tests and diagnostic routines
Ability to communicate ideas, plans and results effectively via oral and written reports
Company
Energy Job Search
Join 3,000,000+ energy professionals who trust us to power their careers.
201-500 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase