Exponent
Overview
Join to apply for the
Statistical Scientist (Ph.D.)
role at
Exponent .
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 engage 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.
The Opportunity 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.
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, 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
You Will Have The Following Skills And Qualifications
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
Programming skills (e.g., R, C++, SQL, Visual Basic, Python), software or dashboard development experience are strongly preferred
Applicants are encouraged to submit a CV with publications (feel free to include publications that are in review or pending) [not restricted to 1 page].
Life at 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
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-MI-Farmington Hills
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Statistical Scientist (Ph.D.)
role at
Exponent .
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 engage 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.
The Opportunity 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.
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, 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
You Will Have The Following Skills And Qualifications
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
Programming skills (e.g., R, C++, SQL, Visual Basic, Python), software or dashboard development experience are strongly preferred
Applicants are encouraged to submit a CV with publications (feel free to include publications that are in review or pending) [not restricted to 1 page].
Life at 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
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-MI-Farmington Hills
#J-18808-Ljbffr