Dream job - Data Scientist C3 AI Employee Review

5.0
Sep 4, 2018
Recommend
CEO approval
Business Outlook

Pros

- Data Scientists at C3 solve challenging problems for our customers to demonstrate the capability of our AI/IoT software platform. Our customers are typically industrial organizations, which rely on our software and data science expertise to develop and deploy intelligent applications. - Unlike at other companies where data science is used to improve the product (optimization, A/B testing, etc.), at C3, data science is part of the core product. My work matters and shapes the product directly. - As a Data Scientist, my work is a mix of quantitative problem solving and consulting. It's not enough to derive insights and train models; we have to explain those insights to the customer and deploy our models on live, predictive applications to meet their needs. I work with a team of product managers and forward deployed engineers to achieve this. - Being a new grad, it's exciting to be tasked with tough, real-world problems. I use what I learned in my Stats and CS classes and find myself learning more about the field every day. Working at C3 is an great learning experience. - The data science team is filled with exceptional talent, with PhDs and Masters in diverse technical fields. It's a thrill to work with and learn from my teammates. - Despite having such lofty academic/industry backgrounds, people here carry a sense of humility and treat others with respect and compassion. - Working on projects, you get to travel to interesting places around the world to visit the customer. - Perks and fun: daily breakfast and lunch, onsite gym with pool, beautiful Redwood City HQ, weekly badminton/soccer pickup games, bonuses for completing courses on Coursera, stock options.

Cons

Certain processes (like employee training/onboarding) haven't been perfected yet, but the team is working hard to fill these gaps.

Explore other reviews about C3 AI

5.0
Jul 3, 2026
Recommend
CEO approval
Business Outlook

Pros

Best team I worked with. Keep learning new tech.

Cons

Not too much. Company is still not profit.

2.0
Jun 1, 2026
Recommend
CEO approval
Business Outlook

Pros

Smart and talented colleagues with strong problem-solving skills. Opportunity to work on large-scale enterprise applications for Fortune 500 customers across industries such as manufacturing, supply chain, energy, and defense. Exposure to AI/ML-driven business applications and complex data integration challenges. Fast-paced environment with significant ownership and opportunities to contribute across the stack. Employees on platform and infrastructure teams can gain experience with distributed systems, backend services, and core platform development. Competitive compensation and exposure to high-impact customer-facing projects.

Cons

Much of the application development work relies on C3.ai's proprietary Type System and platform abstractions rather than widely adopted industry frameworks. Skills gained in some application-focused roles may not transfer as directly to companies that primarily use Java, Spring Boot, Kubernetes, AWS-native services, or other mainstream technologies. Engineers looking to build expertise in designing scalable systems from scratch may find fewer opportunities, as many platform capabilities are already provided by the underlying framework. Technical growth can vary significantly depending on the team. Platform teams often work with core technologies, while application teams may spend more time configuring and extending existing platform functionality. The learning curve for the internal platform can be steep, and much of that knowledge is specific to the C3.ai ecosystem. Career development and marketability outside the company may depend heavily on the nature of the projects and teams an engineer is assigned to.

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