Senior Data Scientist

Overview:
Our Culture and Impact

Cvent is a leading meetings, events, and hospitality technology provider with more than 5,500+ employees and ~30,000 customers worldwide, including 60% of the Fortune 500. Founded in 1999, Cvent delivers a comprehensive event marketing and management platform for marketers and event professionals and offers software solutions to hotels, special event venues and destinations to help them grow their group/MICE and corporate travel business.

Our technology brings millions of people together at events around the world. In short, we’re transforming the meetings and events industry through innovative technology that powers the human connection.

Cvent’s strength lies in its people, fostering a culture where everyone is encouraged to think like entrepreneurs, taking risks and making decisions confidently. We value diverse perspectives and celebrate differences, working together with colleagues and clients to build strong connections.

Are you ready to shape the future of work at the intersection of human expertise and AI innovation? At Cvent, we’re committed to continuous learning and adaptation—AI isn’t just a tool for us, it’s part of our DNA. We’re looking for candidates who are eager to evolve alongside technology. If you love to experiment boldly, share your discoveries, and help define best practices for AI-augmented work, you’ll thrive here.

Our team values professionals who thoughtfully integrate AI into their daily work, delivering exceptional results while relying on the human judgment and creativity that drive real innovation.

Throughout our interview process, you’ll have the chance to demonstrate how you use AI to learn, iterate, and amplify your impact. If you’re excited to be part of a team that’s leading the way in AI‑powered collaboration, we’d love to meet you.

We are looking for a Data Scientist who can help us move beyond using AI only as a coding assistant and toward using AI to design, build, evaluate, and improve AI systems.

The company is moving toward Agentic AI, where LLMs, tools, workflows, and autonomous agents are combined to solve business problems, automate complex processes, and accelerate the creation of new AI capabilities.

As a Data Scientist, you will work at the intersection of data science, machine learning, LLMs, agents, and automation. This role is ideal for someone who understands statistics and machine learning conceptually, can work hands‑on with data and SQL, and is excited about building AI systems that help produce, test, and improve other AI systems.

This is not only about using tools such as Claude Code, Codex, or similar systems to write code faster. It is about understanding how to use AI as part of the production process for AI itself.

• Use statistics and machine learning to analyze data, evaluate systems, and guide decision‑making.
• Build and evaluate LLM‑powered workflows, agents, and AI automations.
• Help design systems where AI can assist in generating prompts, tools, skills, workflows, tests, documentation, and model evaluations.
• Develop evaluation frameworks for agentic workflows, including quality, reliability, accuracy, cost, latency, and failure modes.
• Use SQL to extract, transform, and analyze data from business and product systems.
• Work with Git‑based workflows and collaborate with technical teams.
• Contribute to AI workflows deployed or supported through GCP, such as Big Query, Cloud Storage, Vertex AI, or related services.
• Experiment with Claude Code, Codex, or similar AI development environments to accelerate AI system development.
• Identify opportunities to automate repetitive analytical, operational, and software development tasks using agents.
• Communicate technical findings clearly to business, product, and engineering stakeholders.

• Bachelor’s degree in Data Science, Statistics, or a related quantitative field, or equivalent practical experience.
• Master’s degree in Statistics, Data Science, Artificial Intelligence, Machine Learning, or a related field preferred.
• 5+ years of professional experience in data science, machine learning, or a closely…