Lead Data & Cloud Solutions Senior Engineer (M.S. or Ph.D.)

Exponent • Los Angeles, CA

14h • Onsite

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!
We are currently seeking a Lead Data & Cloud Solutions Senior Engineer for our Data Sciences Practice in our Los Angeles, CA office. In this role, your primary work will revolve around helping Exponent’s team rapidly implement and iterate algorithms, analyses, and visualizations to support clients in the consumer electronics, utilities, and life sciences.

Requirements

• Advanced degree (Ph.D. or M.S.) in Statistics, Computer Science, Engineering, or closely related scientific/technical field
• Expertise spanning several domains, including: Software development using modern engineering best practices, ideally with hands-on DevOps and/or Agile team leadership experience Data engineering (ETL, workflow/pipeline automation), data science (machine learning, analytics), and DevOps (automation, cloud infrastructure, CI/CD, system monitoring)
• Experience designing, deploying, and maintaining data-intensive applications in cloud or hybrid environments (AWS, Azure, Google Cloud, etc.)
• Proficiency with at least two of the following: Python, R, C++, SQL, or Linux (RH 7+), plus experience developing across diverse platforms (desktop, web, cloud, or embedded)
• Three to six years of hands-on exposure to DevOps tools and practices (such as Docker, Kubernetes, Jenkins, Git, Terraform, Ansible, or similar)
• Experience with visualization/dashboard tools, such as Tableau, Power BI, or custom web solutions
• Strong communication skills, with a demonstrated ability to translate complex technical, scientific, and business concepts for diverse audiences
• Business acumen and entrepreneurial mindset with a track record of identifying value for clients, framing business plans, and driving business development
• Consulting experience or demonstrated success in technical roles involving client communication and solution-driven project delivery
• Strong project management and organizational skills; ability to thrive independently and as a collaborative team member in fast-paced, multidisciplinary settings

Responsibilities

• Delivering highly technical consulting in software development, data engineering, data science, and DevOps by designing, automating, deploying, and maintaining robust, scalable data solutions to support client business objectives
• Leading or collaborating on all phases of the client engagement lifecycle, including identifying client needs, framing and scoping business problems, developing project and sprint plans, building and deploying analytics solutions, and translating insights into actionable recommendations
• Acting as a technical lead, product owner, or scrum master as needed—facilitating Agile or DevOps workflows, enabling iterative delivery, managing cross-functional teams, and ensuring project milestones are met
• Developing cloud-based architectures, automating deployment pipelines and CI/CD workflows, and implementing best practices in system reliability, monitoring, and security
• Advising clients on both technical and strategic business solutions, identifying new technology-driven opportunities, and helping clients plan scalable, sustainable, and efficient systems
• Supporting business development by proactively building relationships with clients, identifying new project opportunities, and helping craft and execute business and technical solutions, either independently or collaboratively with firm leadership
• Creating clear, impactful data visualizations and dashboards, and communicating results to both technical and non-technical stakeholders

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level