Statistical Scientist (Ph.D.)

Exponent Inc.•Farmington Hills, MI

2d•Onsite

About The Position

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. We are committed to engaging multidisciplinary teams of science, engineering, and regulatory experts to empower our 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. We are currently seeking a Statistical Scientist for our Data Sciences Practice in Farmington Hills, MI. 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. You will be involved in a variety of projects in application areas including manufacturing, construction, automobiles, health, and consumer products. You will have the opportunity to define and shape your individual consulting practice based on your skills and interests.

Requirements

Ph.D. in Statistics or Applied Mathematics
Significant research in theoretical or applied statistical methods
Excellent communication skills and the ability to communicate statistical concepts to non-technical audiences
Experience or capabilities in such subject areas as statistical data mining, analysis of reliability and life data, sampling plan development, experimental design, or quality control/improvement
Minimum of 2 years’ experience with one or more statistical software packages (e.g., R, SAS, Python)
Ability to work independently and in multidisciplinary teams

Nice To Haves

Programming skills (e.g., R, C++, SQL, Visual Basic, Python), software or dashboard development experience are strongly preferred

Responsibilities

Participating in diverse projects involving exploratory data analysis, statistical inference, and predictive modeling
Applying risk analysis methodologies to problems in engineering, manufacturing, health, finance, and the environment
Providing support to internal and external clients when planning data collection, including framing the problem, experimental design, sample size calculations, and identifying appropriate populations and sampling strategies
Developing reports and visualizations to address clients’ scientific and engineering problems and to support litigation