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Data Scientist
Exponent Los Angeles, CA
$101k-125k (estimate)
Full Time 1 Month Ago
Save

Exponent is Hiring a Data Scientist Near Los Angeles, CA

About Exponent

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.

Join our team of experts with degrees from top programs at over 500 universities and extensive experience spanning a variety of industries. At Exponent, you’ll 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 a 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 civil 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
  • Working with interdisciplinary teams comprised of consultants from Data Sciences, Buildings & Structures, Mechanical Engineering, Human Factors, etc. 

You will have the following skills and qualifications

  • Ph.D. in Statistics, Computer Science, Computer Engineering, or a related engineering/scientific field (such as Applied Mathematics, Civil Engineering, Mechanical Engineering, Electrical Engineering, Industrial Engineering, or Physics)
  • Demonstrated experience and expertise in one or more of the following areas:
    • Machine learning
    • Geospatial analysis
    • Operations optimization
    • Data engineering
    • Data analysis and modeling
  • The desire to work with a diverse set of clients and engage in work outside of the traditional data science field
  • Proficiency with 2 or more of the following: Python, R, C , SQL, and Linux (RH 7 )
  • Strong practical engineering ability combined with leadership and project management skills
  • Prior experience with civil infrastructure (such as electric, gas, or water utilities) is preferred
  • Excellent verbal and written communication skills
  • Ability to work independently and in multidisciplinary teams

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.com/careers/life-exponent https://www.exponent.com/company/our-impact

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 well-being. We believe that providing competitive benefits as well as compensation and recognition programs empowers our staff to do work that makes a difference. 

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.

The base salary range for this position is dependent on experience and capabilities which will be assessed during the interview process.

Salary Range

USD $120,000.00 - USD $145,000.00 /Yr.

Benefits you will enjoy

Access benefits information on our Life@Exponent page: 

https://www.exponent.com/careers/life-exponent 

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 HR-Accommodations@exponent.com. 

Job Locations

US-CA-Los Angeles

Job Summary

JOB TYPE

Full Time

SALARY

$101k-125k (estimate)

POST DATE

04/19/2023

EXPIRATION DATE

02/13/2025

WEBSITE

exponent.com

HEADQUARTERS

ALEXANDRIA, VA

SIZE

1,000 - 3,000

FOUNDED

1967

TYPE

Public

REVENUE

$200M - $500M

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If you are interested in becoming a Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Scientist for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Scientist jobs

Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.

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Data scientists lay a solid foundation to help perform all kinds of analysis.

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Business analysts are focused on reporting, just like data analysts.

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A data scientist should understand the assumptions that need to be met for each statistical test.

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Step 3: View the best colleges and universities for Data Scientist.

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