Forward Deployed Data Scientist at Intercom

Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent.

Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers.

• 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.

• 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.
• Rapidly prototype bespoke solutions for customers - knowing when lightweight analysis is sufficient versus when to scale.
• Excellent SQL skills and fluency in Python/R, with experience applying analytical and statistical methods to 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.

• Experience in technical consulting, customer facing analytics, or SaaS product data science.
• Experience applying AI to scale the data science workflow.

• Competitive salary and meaningful equity
• Comprehensive medical, dental, and vision coverage
• Regular compensation reviews - great work is rewarded!
• Flexible paid time off policy
• Paid Parental Leave Program
• In office bicycle storage
• Fun events for Intercomrades, friends, and family!

Proof of eligibility to work in the United States is required.

The base salary range for candidates within the San Francisco Bay Area is $197,600 - $225,500. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).

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.

Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status or any other legally recognized protected basis under federal, state or local law.