Data Scientist for Energy, Environment and Infrastructure Consulting

5 days ago


Los Angeles, California, United States Exponent Full time
About Exponent

At Exponent, we're a premium engineering and scientific consulting firm with a unique blend of expertise to tackle our clients' most complex challenges. Our vision is to empower clients with innovative solutions that create a safer, healthier, more sustainable world.

Job Description

We're seeking a highly skilled Data Scientist to join our Data Sciences Practice in Los Angeles, CA. In this role, you'll work closely with our team to help clients solve urgent, high-profile technical problems across various industries, including consumer electronics, utilities, and life sciences.

  • Support a range of consulting activities related to large-scale network problems involving energy, environment, and infrastructure, including model development, data analysis, and visualization.
  • Develop cloud-based storage and computation solutions, including client-facing visualizations of key decision metrics.
  • Actively solve technical and logistical problems in a fast-paced environment.

This position requires strong technical skills and experience in two or more areas: data/software product development, spatial analysis, engineering data pipelines, or software verification and validation. Proficiency in Python, R, C++, SQL, and Linux is also essential.

Required Skills and Qualifications

M.S. in Statistics, Computer Science, or a related engineering/scientific field (such as Applied Mathematics, Bioinformatics, Civil Engineering, Electrical Engineering, Systems Engineering, or Physics).

  • Demonstrated experience and expertise in two or more areas: data/software product development, spatial analysis, engineering data pipelines, or software verification and validation.
  • The desire to work with a varied set of clients and Exponent teams on projects that integrate diverse subject matter expertise with data science capabilities.
  • Proficiency with two or more programming languages, including Python, R, C++, SQL, and Linux.
  • Prior experience with energy, environment, and infrastructure-related projects is preferred.


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