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# Managing Scientist, Statistics (M.S. or Ph.D.)

- **Company:** Exponent
- **Location:** Phoenix, AZ, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Machine Learning
- **Published:** June 1, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=492a60e86dbfc964

## About the Role

Do you have experience in Scientific publications?, * Ph.D. or M.S. degree with a minimum of seven years of work experience in Statistics or Biostatistics

 * Excellent communication skills and the ability to communicate statistical concepts to non-technical audiences
 * Experience or capabilities in subject areas such as statistical data mining, analysis of reliability and life data, experimental design, Bayesian statistics, machine learning, or quality control/improvement
 * Business development skills and professional consulting experience
 * A strong record of professional contributions as evidenced by publications or related activities

## Description

We are currently seeking a Managing Scientist, Statistics for our Data Sciences Practice in Phoenix, AZ. In this role, you will be engaged on diverse projects in the collection, management, visualization, and inferential analysis of data. You will support and lead teams 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 public health, automobiles, consumer products, and military systems.
You will be responsible for:

 * 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
 * Management of complex projects involving multiple tasks and multidisciplinary teams
 * Development of relationships and generation of business with new and existing clients
 * Mentoring and supervision of talented Scientists and Senior Scientists in statistics


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