Exponent is looking for a Data Scientist to help clients solve challenging technical problems, often urgent, high profile, and multi-disciplinary, within the energy, environment, and infrastructure sectors.
Requirements
- Ph.D. in Statistics, Computer Science, or a related engineering/scientific field (such as Applied Mathematics, Civil Engineering, Electrical Engineering, Systems Engineering, or Physics)
- Demonstrated experience and expertise in two or more of the following areas: Data/software product development, Spatial analysis, Engineering data pipelines, Software verification and validation
- Proficiency with two or more of the following: Python, R, C++, SQL, and Linux (RH 7+)
- Prior experience with energy, environment and infrastructure related projects (such as electric, gas or water utilities, as well as transportation and freight logistics) is preferred
Responsibilities
- Supporting a range of consulting activities related to large-scale network problems involving energy, environment and infrastructure, including model development, data analysis, and visualization
- Developing cloud-based storage and computation solutions including client-facing visualizations of key decision metrics
- Actively solving technical and logistical problems in a fast-paced environment
- Implementing and iterating algorithms, analyses, and visualizations to support clients in the consumer electronics, utilities, and life sciences.
Other
- 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.
- In-person interactions deepen employee engagement and are crucial for development, for realizing the full potential of our talented and diverse teams, and for building a more inclusive workplace where all have a sense of belonging.
- Consultants have the autonomy to balance their work and personal schedules so you can meet with clients, visit inspection sites, attend conferences, and make time for priorities outside of work, too.
