Job Description

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. Our vision is to engage multidisciplinary teams of science, engineering, and regulatory experts to empower 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 Statistical Scientist for our Data Sciences Practice to be based in our Bellevue, WA office. In this role, you will work as part of a team engaged on diverse projects in the collection, management, visualization, and inferential analysis of data. You will be responsible for Participating in diverse projects involving exploratory data analysis, statistical inference, and predictive modelingApplying risk analysis methodologies to problems in engineering, health, finance, ecology, and the environmentProviding 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 strategiesDeveloping 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, Biostatistics, or a related fieldExcellent communication skills and the ability to communicate statistical concepts to non-technical audiencesExperience 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/improvementMinimum of 2 years' experience with one or more statistical software packages (SAS and R are preferred)Ability to work independently and in multidisciplinary teamsProgramming skills (e.g., C++, SQL, Visual Basic, Python) and software or dashboard development experience are strongly preferredPresently legally authorized to work in the United States; no immigration sponsorship or processing required Applicants are encouraged to submit a CV (Curriculum Vitae) with publications (feel free to include publications that are in review or pending) [not restricted to 1 page]. Life @ Exponent To learn more about life at Exponent and our impact, please visit the following links: Attracting, inspiring, developing, and rewarding exceptional people with diverse backgrounds and expertise are central to our corporate culture. Our diverse team allows us to provide better value to our clients and enjoy an enriched work environment. Our firm is committed to offering a variety of programs and resources to support health and well-being. We believe that providing competitive benefits as well as compensation and recognition programs empowers our staff to do work that makes a difference. Work Environment At Exponent, we have found that 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. In our offices, you can expect a supportive culture and a collaborative, dynamic, multi-disciplinary work environment. Our consultants engage in-person in the office unless they are traveling for client work or other business activities. We value the rich lives our colleagues enjoy outside of work and understand that work/life balance is critical to our employees and their well-being. 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. It is this flexible, agile work style and working hours that allow our teams to drive innovation and results in their own ways, while meeting the needs of clients. #LI-Onsite Compensation Our consultants are rewarded for their technical and business contributions and have an opportunity to plan for future success and career growth. Exponent's total compensation plan is consistent with its expectations of the quality and quantity of work performed and with the professional standards set by Exponent. At the Associate and Senior Associate level, total compensation includes base salary, bi-weekly bonuses for high-intensity efforts, annual bonus and 401(k) employer contribution of 7% of base salary.The base salary range for this position is dependent on experience and capabilities which will be assessed during the interview process. Salary Range USD $133,000.00 - USD $150,000.00 /Yr. Benefits you will enjoy Access benefits information on our Life@Exponent page: 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-WA-Bellevue Job SummaryLocation: US-WA-BellevuePractice: Computer, Data, & Security SciencesPosition Type: Full-timePosted Salary Range: USD $133,000.00 - USD $150,000.00 /Yr.Workplace Type: On-Site

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