Applied Data Scientist - AI & Analytics Focus (M.S. or Ph.D.)

Exponent • Irvine, CA

96d • $133,000 - $145,000

About The Position

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!

Requirements

• Ph.D. in Computer Science, Physics, Applied Mathematics or a related engineering/scientific field OR M.S. plus 3+ years of industry experience in data science, applied machine learning, or data engineering after finishing the M.S. degree.
• Proficiency in Python and scientific computing libraries (e.g., NumPy, Pandas, SciPy, scikit-learn).
• Experience with real-world data collection, cleaning, and analysis, including handling missing data, measurement error, and sensor calibration.
• Familiarity with SQL databases, cloud platforms (AWS, Azure, or GCP), and version control systems.
• Strong practical engineering skills and ability to build robust, maintainable systems.
• Strong communication skills and ability to work in cross-functional teams.
• Proof of U.S. citizenship and the possession of or ability to obtain a U.S. DoD Security Clearance.

Nice To Haves

• Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch) is a plus.
• Experience working with sensitive or regulated data (e.g., healthcare, government) is desirable.

Responsibilities

• Design and implement scalable data pipelines and analytical workflows across diverse domains.
• Work with experimental and observational data, including sensor data, clinical records, and operational logs.
• Apply statistical and machine learning techniques using input from engineering domain experts and information technology specialists.
• Support data integration and transformation efforts across complex data ecosystems with a strong emphasis on error estimation and uncertainty quantification.
• Collaborate with stakeholders to define data requirements and produce deliverables for projects.
• Ensure data security and compliance with federal and industry standards.

Benefits

• Base salary range of USD $133,000.00 - USD $145,000.00 /Yr.
• Bi-weekly bonuses for high-intensity efforts.
• Annual bonus.
• 401(k) employer contribution of 7% of base salary.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Industry: Professional, Scientific, and Technical Services
• Education Level: Ph.D. or professional degree
• Number of Employees: 1,001-5,000 employees