Data Scientist

Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. For more information, visit www.gong.io.

At Gong, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career.

Senior Data Scientist – NLP & LLMs

As a Senior Data Scientist (NLP & LLMs) at Gong, you will combine strong hands-on machine learning, deep understanding in LLMs, and sharp product thinking to build the next generation of Gong AI. You’ll work with real customer interaction data, design and run large-scale experiments, and partner closely with Product and Engineering to turn cutting-edge LLM capabilities into impactful features that our customers love.

You’ll collaborate with a team of exceptional data scientists, data analysts, and prompt engineers, and you’ll be a key driver in shaping how Gong uses LLMs, NLP practices, and data to power our product.

In this role, you will:
Own the AI Product Lifecycle
Partner with Product Managers to translate ambiguous customer needs into concrete ML problems. You will define success metrics, assess technical feasibility, and drive the roadmap from ideation to production deployment.
Build Agentic Workflows & Evaluation Frameworks
Support establishing the Gong Agent. You will design multi-step reasoning flows and build the evaluation harnesses needed to benchmark and stabilize agentic behavior.
Deploy Advanced NLP & ML Techniques
Implement the optimal technical strategy for the problem at hand, ranging from advanced RAG and unsupervised clustering to fine-tuning custom models for domain adaptation.
Drive Semantic Data Strategy
Deeply analyze the "meaning" within our data to extract signals from noise. You will define the ground truth, develop heuristics, and design schemas that allow machines to parse the nuance, intent, and dynamics of long-form, unstructured human conversation.
Industrialize Experimentation at Scale
Build robust Python pipelines that support systematic comparison of prompts, models, and architectures. You will design offline benchmarks and online tests to move quality measurement beyond "vibes" to statistically significant insights.
Tell the Story with Data
Synthesize complex experimental results into clear, actionable insights. You will tell data-driven stories that help stakeholders understand trade-offs and make evidence-based decisions.
Drive Academic & Technical Excellence
Cultivate scientific rigor and technical mastery. You will mentor the team on translating SOTA NLP papers into production-grade code, ensuring our solutions are both theoretically sound and architecturally robust.

You should apply if you have:

Education & experience

M.Sc. or Ph.D. in an exact science field or equivalent industry experience.

5+ years of industry experience in data science / machine learning, including hands-on work with deep learning or large language models in real products.LLM / NLP expertisePractical experience building agentic workflows and NLP features end-to-end: from problem framing and data preparation to prompt/model design and production deployment. Deep familiarity with modern techniques including RAG, fine-tuning, LLMs, as well as the evaluation frameworks required to benchmark them.Python & experimentation at scaleExpert-level Python skills, including working with common data and ML libraries (e.g., pandas, NumPy, scikit-learn, PyTorch, Transformers, LangChain, or similar).Proven track record designing and running large-scale experiments (e.g., offline benchmarks, prompt/model pipelines), and turning results into concrete decisions.Strong analytical skillsDeep expertise in statistics and data analysis. Demonstrated skill in parsing unstructured, real-world data to uncover patterns and drive research strategyProduct mindsetExperience working with product managers and other stakeholders, with a strong sense for customer needs and value.

Ability to break down ambiguous problems, propose alternatives, and help the team focus on what will move the needle for users and the business.

Collaboration

Excellent communication skills and the ability to collaborate effectively with cross-functional teams in a fast-paced environment.

What makes Engineering at Gong unique?

Here at Gong, we trust and empower our employees with ownership to solve complex problems, make the right decisions, and build the best products that create radical impact. We call this “Own. Solve. Impact.”

If you are curious to discover Gong's wonderful and challenging world, what are you waiting for? Don’t delay - fill in your application details. Who knows, maybe there’s a Gongster in you!

About us

Gong transforms revenue organizations by driving business efficiency, revenue growth, and improved decision-making. The Revenue Intelligence Platform uses proprietary artificial intelligence technology to enable teams to capture, understand, and act on all customer interactions in a single, integrated platform. Thousands of companies around the world rely on Gong to support their go-to-market strategies and grow revenue efficiently.

Here at Gong, we encourage our employees to express their personality and identity (whether gender, ethnic, religious, or sexual), and we ensure fairness and equal opportunities. We follow a hybrid working model that combines working from home, on the go, or at the office. This allows us: flexibility, autonomy, positive work relationships, and effective work habits.

If these considerations are important to you when choosing a work place, we'd love to see you with us.

To review Gong's privacy policy, visit www.gong.io/privacy-policy/ for more details.