Senior Data Scientist - AI Tooling
Role details
Job location
Tech stack
Job description
AI has unlocked an entirely new generation of internal tools for our GTM teams. We're evolving from static dashboards to LLM and agent-powered workflows that do the work: auto-researching accounts, summarizing prior interactions, drafting personalized outreach, flagging renewal risk, and assembling decks and docs - enabling Sales and Success to focus on high-value conversations.
The RAD team partners closely with GTM Systems to define problems, solutions, and measure impact - from prototype to production.
This is a high-ownership role for someone who thrives in ambiguity, is energized by solving complex real-world problems, and is motivated by seeing their work translate into tangible business impact.
What will I be doing?
- Design, evaluate, and ship AI-powered internal tools for GTM use cases - including account research & summaries, next-best-action recommendations, renewal propensity, pipeline risk detection, QBR/autobrief generation, and post-call summarization & follow-ups.
- Work end-to-end: Own the full lifecycle, from problem definition and data modeling to building production-ready tools, including writing Python backends and React frontends.
- Prototype fast, ship to learn: Rapidly build with users, then productionize quickly to iterate and deliver impact.
- Instrument for adoption and outcomes: Define success through real usage and measurable business impact (e.g., improved win rate, conversion, expansion).
- Evangelize and enable: Document playbooks, run enablement sessions, and help leaders operationalize new tooling across teams.
Requirements
Do you have experience in SQL?, Do you have a Master's degree?, * Proven track record of applied data science with measurable GTM impact - you've shipped models or tools that moved metrics like conversion, cycle time, or retention.
- LLM/ML application experience - familiarity with RAG, prompt and tool design, vector search, evals and have leveraged AI for development.
- Excellent SQL skills and fluency in Python or R, with experience applying analytical and statistical methods to business problems.
- Experience with orchestration tools (e.g., DBT, Airflow) for deploying reliable data workflows.
- Strong communication and empathy - ability to translate complex data concepts for non-technical stakeholders.
- Collaborative product mindset - comfort working closely with Sales and Success teams to turn ambiguity into clear deliverables.
Benefits & conditions
We are a well treated bunch, with awesome benefits! If there's something important to you that's not on this list, talk to us!
- Competitive salary, annual bonus and equity
- Regular compensation reviews - we reward great work!
- Generous paid time off above statutory minimum
- Hybrid working
- MacBooks are our standard, but we also offer Windows for certain roles when needed.
- Fun events for Intercomrades, friends, and family!
#LI-Hybrid
Policies
Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.