Forward Deployed Data Scientist

Fin•San Francisco, CA

7d•Hybrid

About The Position

The Research, Analytics & Data Science (RAD) team at Intercom uses data and insights to drive evidence-based decision-making. We're a team of data scientists and product researchers who use data - both big and small - to unlock actionable insights about our customers, our products and our business. We generate insights that build customer empathy, drive product strategy and shape products that deliver real value to our customers. We’re now seeing strong demand for data scientists who can apply their expertise directly with our most strategic customers. As a Forward Deployed Data Scientist, you’ll embed with customers to build Enterprise-grade Fin deployments. You’ll play a pivotal role in transforming how our most strategic customers scale customer support — working closely with them and our go-to-market teams to design, build, and implement data-driven solutions that unlock measurable impact. You’ll also feed insights from these frontline deployments back into Intercom’s product and strategy — helping shape the future of AI customer service. This is a high-ownership role for someone who thrives in ambiguous environments, is energized by solving complex, real-world problems with data, and is motivated by seeing their work translate into both customer impact and product evolution.

Requirements

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.
Rapid prototyping with systems thinking: you know when a customer needs a fast, bespoke answer, and when to build something others will keep using.
Excellent SQL and production-aware Python, you write code other people can run, not just code that runs once and are experienced applying analytical and statistical methods to real business problems.
Experience with AI/ML evaluation, LLM-driven applications, or conversational AI.
Willing to travel and work on-site with customers to build deep relationships and uncover insights firsthand.
Proof of eligibility to work in the United States is required.

Nice To Haves

Experience in technical consulting, customer-facing analytics, or SaaS product data science.
Experience reframing the problem, not just solving it, you've spotted when the question you were handed wasn't the right one, and changed what got worked on.
Experience applying AI to scale the data science workflow.

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, Product, and Engineering 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.