About this role
Data scientists who thrive in ambiguous environments and are energized by solving complex, real-world problems with data will find a great fit in this position. The Research, Analytics and Data Science team at Intercom uses data and insights to drive evidence-based decision-making and build customer empathy.
As a Forward Deployed Data Scientist, the individual will embed directly with strategic customers to build enterprise-grade Fin deployments and scale support operations. This high-ownership role bridges technical execution and product strategy, allowing the team to feed frontline insights back into development while helping customers realize the full value of AI-driven tools.
What you will do
- 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.
- 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.
- Create feedback loops that shape product development based on frontline insights.
- Use AI to prototype, test, and scale data-driven solutions that make the team faster and more effective.
What you need
- Demonstrated ability to apply data science in real-world business contexts to drive measurable outcomes.
- Strong collaboration mindset with the ability to work across Sales, Success, Product, and Engineering.
- High adaptability and ownership to shift between deep technical analysis and high-level strategic framing.
- Excellent communication skills tailored for both technical and non-technical audiences.
- Experience with rapid prototyping and systems thinking to determine when to build bespoke or scalable solutions.
- Proficiency in SQL and production-aware Python, alongside experience applying analytical and statistical methods.
- Prior experience with AI/ML evaluation, LLM-driven applications, or conversational AI.
- Willingness to travel and work on-site with customers to build relationships and uncover insights.
Nice to have
- Experience in technical consulting, customer-facing analytics, or SaaS product data science.
- Experience reframing business problems rather than just solving initial requests.
- Experience applying AI to scale the data science workflow.
Benefits
- Corporate bonus program or sales incentive
- Stock in the form of Restricted Stock Units (RSUs)
- Health and wellbeing programs
- Family support resources
- Paid time away from work
- Financial future planning offerings
Skills and tech stack
Questions candidates ask
What is the remote work and office policy?
Fin has a hybrid working policy. We expect employees to be in the office at least three days per week.
What is the salary range for this role?
The base salary range for candidates within the San Francisco Bay Area is $206,600 to $229,000. Actual base pay will depend on a variety of factors such as education, skills, experience, and location.
What additional compensation is available beyond base pay?
All regular employees may also be eligible for the corporate bonus program or a sales incentive as well as stock in the form of Restricted Stock Units (RSUs).