Statistical Scientist (Ph.D.)

{
  "content_hash": "f7eced51851f1421e7a0db9938d6fb70e36d3eda3555834cadaf72b7d290943b",
  "source_hash": "8a204edc3e6eae8841fb7e9730fdd38495e8c6baeefd1d25e9206594f48b2270",
  "last_changed_at": "2026-06-01T14:15:02.860Z",
  "active_status": "active"
}

{
  "dedupe": null,
  "language": "en",
  "location": {
    "raw": "Farmington Hills, MI, US",
    "city": "Farmington Hills",
    "region": "MI",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.8
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-21T08:57:18.285Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "Farmington Hills, MI, US",
      "city": "Farmington Hills",
      "region": "MI",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.8
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": null,
  "salary_period": "hour",
  "workplace_type": "on_site",
  "salary_currency": null
}

{}

{
  "json_ld": {
    "url": "https://careers-exponent.icims.com/jobs/2113/us-mi-farmington-hills/job",
    "@type": "JobPosting",
    "title": "Statistical Scientist (Ph.D.)",
    "@context": "http://schema.org",
    "datePosted": "2026-05-14T04:00:00.000Z",
    "description": "<h2>About Exponent</h2>\n<p><strong>Exponent</strong> 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.  </p>\n<p> </p>\n<p>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.  </p>\n<p> </p>\n<p>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!   </p>\n<p> </p>\n<p><strong>Key statistics:</strong> </p>\n<ul>\n <li>950+ Consultants </li>\n <li>640+ Ph.D.s </li>\n <li>90+ Disciplines </li>\n <li>30+ Offices globally </li>\n</ul>\n<h2>Our Opportunity</h2>\n<p>We are currently seeking a <strong>Statistical Scientist</strong> for our <strong>Data Sciences</strong> Practice in <strong>Farmington Hills, MI</strong>. 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.</p>\n<h2>You will be responsible for</h2>\n<ul>\n <li>Participating in diverse projects involving exploratory data analysis, statistical inference, and predictive modeling</li>\n <li>Applying risk analysis methodologies to problems in engineering, manufacturing, health, finance, and the environment</li>\n <li>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</li>\n <li>Developing reports and visualizations to address clients’ scientific and engineering problems and to support litigation</li>\n</ul>\n<h2>You will have the following skills and qualifications</h2>\n<ul>\n <li>Ph.D. in Statistics or Applied Mathematics </li>\n <li>Significant research in theoretical or applied statistical methods</li>\n <li>Excellent communication skills and the ability to communicate statistical concepts to non-technical audiences</li>\n <li>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</li>\n <li>Minimum of 2 years’ experience with one or more statistical software packages (e.g., R, SAS, Python)</li>\n <li>Ability to work independently and in multidisciplinary teams</li>\n <li>Programming skills (e.g., R, C++, SQL, Visual Basic, Python), software or dashboard development experience are strongly preferred</li>\n</ul>\n<p> </p>\n<p><em>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].</em></p>\n<h2>Life @ Exponent</h2>\n<p>To learn more about life at Exponent and our impact, please visit the following links:</p>\n<p> </p>\n<p>https://www.exponent.com/careers/life-exponent</p>\n<p>https://www.exponent.com/company/our-impact</p>\n<p> </p>\n<p>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.</p>\n<p> </p>\n<p>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.</p>\n<h2>Work Environment</h2>\n<p>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. </p>\n<p> </p>\n<p>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</p>\n<h2>Benefits you will enjoy</h2>\n<p>Access benefits information on our Life@Exponent page:</p>\n<p> </p>\n<p>https://www.exponent.com/careers/life-exponent</p>\n<p> </p>\n<p>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.</p>\n<p> </p>\n<p>If you need assistance or accommodation due to a disability, you may email us at [email protected].</p>\n<p> </p>\n<p> </p>\n<p></p>\n<p> </p>\n<h2>Job Locations</h2>US-MI-Farmington Hills",
    "directApply": true,
    "jobLocation": [
      {
        "@type": "Place",
        "address": {
          "@type": "PostalAddress",
          "postalCode": "48331",
          "addressRegion": "MI",
          "streetAddress": "39100 Country Club Dr",
          "addressCountry": "US",
          "addressLocality": "Farmington Hills",
          "postOfficeBoxNumber": "UNAVAILABLE"
        }
      }
    ],
    "validThrough": "2027-05-14T04:00:00.000Z",
    "employmentType": "FULL_TIME",
    "hiringOrganization": {
      "name": "Exponent Inc.",
      "@type": "Organization",
      "sameAs": "www.exponent.com"
    },
    "occupationalCategory": "Data Sciences"
  },
  "detail_meta": {
    "url": "https://careers-exponent.icims.com/jobs/2113/statistical-scientist-%28ph.d.%29/job?in_iframe=1",
    "http_status": 200,
    "content_type": "text/html;charset=UTF-8",
    "response_bytes": 43682,
    "compact_response_bytes": 7386,
    "original_response_bytes": 43682
  },
  "sitemap_job": {
    "id": "2113",
    "url": "https://careers-exponent.icims.com/jobs/2113/statistical-scientist-%28ph.d.%29/job",
    "slug": "statistical-scientist-%28ph.d.%29",
    "lastmod": "2025-07-14T14:28:49-04:00"
  },
  "detail_errors": []
}