Exponent is seeking a Statistical Scientist to help clients solve challenging technical problems which are often urgent, high profile, and multi-disciplinary, across various application areas.
Requirements
- Ph.D. in Statistics or Applied Mathematics
- Significant research in theoretical or applied statistical methods
- 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)
- 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
Other
- Excellent communication skills and the ability to communicate statistical concepts to non-technical audiences
- Ability to work independently and in multidisciplinary teams
- 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].
- In-person interactions deepen employee engagement and are crucial for development, for realizing the full potential of our talented and diverse teams, and for building a more inclusive workplace where all have a sense of belonging.
- Consultants have the autonomy to balance their work and personal schedules so you can meet with clients, visit inspection sites, attend conferences, and make time for priorities outside of work, too.
