Statistical Scientist (M.S. or Ph.D.)

Exponent Inc.•Phoenix, AZ

1d•Onsite

About The Position

Exponent is a premium engineering and scientific consulting firm that solves complex challenges for clients. They engage multidisciplinary teams of science, engineering, and regulatory experts to empower clients with solutions that create a safer, healthier, and more sustainable world. For over five decades, Exponent has connected the lessons of past failures with tomorrow's solutions, advising clients on technologically complex products and processes, user safety, and sustainability challenges. The firm has over 950 consultants, including 640+ Ph.D.s across 90+ disciplines and 30+ global offices. Exponent fosters career growth through mentoring, sponsorship, and a culture of learning, valuing diverse ideas, talents, backgrounds, and experiences. The Data Sciences Practice in Phoenix, AZ, is currently seeking a Statistical Scientist to contribute to diverse projects.

Requirements

Ph.D. (or M.S. degree with two years' work experience post-graduation) in Statistics, Biostatistics, or a related field
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, experimental design, Bayesian statistics, machine learning, or quality control/improvement
Minimum of two years' experience with one or more statistical software packages (SAS and R are preferred)
Ability to work independently and in multidisciplinary teams
Presently legally authorized to work in the United States; no immigration sponsorship or processing required

Nice To Haves

Programming skills (e.g., C++, SQL, Visual Basic, Python) and 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, health, finance, ecology, 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