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

Exponent • Phoenix, AZ

57d • Onsite

About The Position

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. 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. 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 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.

Requirements

• 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

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
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees