Client-Facing Data Scientist — Frontline AI Deployments

Intercom; San Francisco (CA); Hybrid; USD 207,000 - 229,000; Full time

Job summary

Intercom’s RAD Team seeks a Forward Deployed Data Scientist to embed with strategic customers and build enterprise-grade Fin deployments. You’ll design data-driven solutions, analyze customer workflows, and collaborate with GTM, product, and engineering to drive measurable impact.

Join a high-ownership role that thrives in ambiguity, travels to client sites, and translates insights into product evolution. Hybrid SF Bay Area work policy applies with strong focus on delivering value.

Qualifications

• Proven ability to apply data science in real-world business contexts to drive measurable outcomes.
• Strong collaboration mindset; skilled at working across Sales, Success, Product, and Engineering.
• High adaptability and ownership: able to shift between deep technical analysis and high-level strategic framing.
• Excellent communication skills, both technical and non-technical.

Responsibilities

• Drive the adoption of Fin by helping customers automate and scale their support operations.
• Embed with strategic customers to understand their support workflows, data, and business challenges — to identify and implement opportunities where AI can deliver measurable impact.
• Steer customers toward best practices in measurement and AI adoption to realize the full value of Fin.
• Partner closely with Sales, Success, and Product to deliver seamless customer experiences and successful deployments, and to create feedback loops that shape product development.
• Use AI to prototype, test, and scale data-driven solutions, building tools that make us faster and more effective in driving Fin adoption and customer impact.

Skills

Data science

SQL

Python

AI/ML evaluation

Communication

Collaboration

Travel willing

Tools

Python (production-ready)

SQL tooling

LLM tooling

Job description

Intercom’s RAD Team seeks a Forward Deployed Data Scientist to embed with strategic customers and build enterprise-grade Fin deployments. You’ll design data-driven solutions, analyze customer workflows, and collaborate with GTM, product, and engineering to drive measurable impact.

Join a high-ownership role that thrives in ambiguity, travels to client sites, and translates insights into product evolution. Hybrid SF Bay Area work policy applies with strong focus on delivering value.