Energy Environment and Infrastructure Focused Data Scientist PhD
Energy Environment and Infrastructure Focused Data Scientist PhD
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Job Description
About Exponent
Exponentis 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 weve connected the lessons of past failures with tomorrows 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.
Join our team of experts with degrees from top programs at over 500 universities and extensive experience spanning a variety of industries. At Exponent youll contribute to the diverse pool of ideas talents backgrounds and experiences that drives our collaborative teamwork and breakthrough insights. Plus we help you grow your career through mentoring sponsorship and a culture of learning. Thanks for your interest in joining our team!
Key statistics:
- 950 Consultants
- 640 Ph.D.s
- 90 Disciplines
- 30 Offices globally
Our Opportunity
We are currently seeking anEnergy Environment and Infrastructure Focused Data Scientist for ourData SciencesPractice inLos 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 multidisciplinary. Your primary work will revolve around helping Exponents 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 largescale network problems involving energy environment and infrastructure including model development data analysis and visualization
- Developing cloudbased storage and computation solutions including clientfacing visualizations of key decision metrics
- Actively solving technical and logistical problems in a fastpaced 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.
Life @ Exponent
To learn more about life at Exponent and our impact please visit the following links:
https://www.exponent/careers/lifeexponent
https://www.exponent/company/ourimpact
Attracting inspiring developing and rewarding exceptional people with diverse backgrounds and expertise are central to our corporate culture. Our diverse team allows us to provide better value to our clients and enjoy an enriched work environment.
Our firm is committed to offering a variety of programs and resources to support health and wellbeing. We believe that providing competitive benefits as well as compensation and recognition programs empowers our staff to do work that makes a difference.
Work Environment
At Exponent we have found that inperson 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. In our offices you can expect a supportive culture and a collaborative dynamic multidisciplinary work environment. Our consultants engage inperson in the office unless they are traveling for client work or other business activities.
We value the rich lives our colleagues enjoy outside of work and understand that work/life balance is critical to our employees and their wellbeing. 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. It is this flexible agile work style and working hours that allow our teams to drive innovation and results in their own ways while meeting the needs of clients. #LIOnsite
Compensation
Our consultants are rewarded for their technical and business contributions and have an opportunity to plan for future success and career growth. Exponents 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 biweekly bonuses for highintensity efforts annual bonus and 401(k) employer contribution of 7 of base salary.
The base salary range for this position is dependent on experience and capabilities which will be assessed during the interview process.
Salary Range
Benefits you will enjoy
Access benefits information on our 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.
If you need assistance or accommodation due to a disability you may email us at .
Job Locations
Employment Type
Full-Time
