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Energy, Environment and Infrastructure Focused Data Scientist (Ph.D.)

Spelman College
Los Angeles, CA Full Time
POSTED ON 1/17/2025
AVAILABLE BEFORE 4/16/2025

Energy, Environment and Infrastructure Focused Data Scientist (Ph.D.)

Recruitment began on July 22, 2024 and the job listing expires on January 22, 2025.

Check out the role overview below If you are confident you have got the right skills and experience, apply today.

Exponent is the only premium engineering and scientific consulting firm with the depth and breadth of expertise to solve our clients’ most profoundly unique, unprecedented, and urgent challenges.

Our vision is to engage multidisciplinary teams of science, engineering, and regulatory experts to empower clients with solutions that create a safer, healthier, more sustainable world. For over five decades, we’ve connected the lessons of past failures with tomorrow’s solutions to advise clients as they innovate technologically complex products and processes, ensure the safety and health of their users, and address the challenges of sustainability.

We are currently seeking an Energy, Environment and Infrastructure Focused Data Scientist for our Data Sciences Practice in Los Angeles, CA . In this role, you will work as part of a team to help our clients solve challenging technical problems which are often urgent, high profile, and multi-disciplinary. Your primary work will revolve around helping Exponent’s team rapidly implement and iterate algorithms, analyses, and visualizations to support clients in the consumer electronics, utilities, and life sciences. You will have the opportunity to define and shape your individual consulting practice based on your skills and interests.

You will be responsible for :

  • 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.

You will have the following skills and qualifications :

  • 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.
  • 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 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.
  • Applicants are encouraged to submit a CV (Curriculum Vitae) with publications (feel free to include publications that are in review or pending) [not restricted to 1 page].

    Compensation

    Our consultants are rewarded for their technical and business contributions and have an opportunity to plan for future success and career growth. Exponent’s total compensation plan is consistent with its expectations of the quality and quantity of work performed and with the professional standards set by Exponent. At the Associate and Senior Associate level, total compensation includes base salary, bi-weekly bonuses for high-intensity efforts, annual bonus and 401(k) employer contribution of 7% of base salary.

    Salary Range

    USD $130,000.00 – USD $145,000.00 / Yr.

    Benefits you will enjoy

    Access benefits information on our Life@Exponent page :

    Exponent is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, veteran status, disability, sexual orientation, gender identity, or any other protected status.

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    Salary : $130,000 - $145,000

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