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Intercom (Fin, now part of Salesforce) is seeking a Senior Forward Deployed Data Scientist to embed with enterprise customers and drive adoption of Fin, their AI Customer Agent platform. This role bridges data science, customer success, and product strategy—you'll work directly with strategic customers to understand their support workflows, identify opportunities for AI-driven impact, and implement data-driven solutions that scale their customer support operations.
Key responsibilities include:
- Embedding with strategic customers to understand their support workflows, data, and business challenges, identifying where AI can deliver measurable impact
- Driving Fin adoption by helping customers automate and scale support operations
- Steering customers toward best practices in measurement and AI adoption to maximize value realization
- Partnering closely with Sales, Success, and Product teams to deliver seamless customer experiences and create feedback loops that shape product development
- Using AI to prototype, test, and scale data-driven solutions that accelerate Fin adoption and customer impact
- Traveling and working on-site with customers to build deep relationships and uncover insights firsthand
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: knowing when a customer needs a fast, bespoke answer versus when to build something reusable
- Excellent SQL and production-aware Python; you write code others can run and are experienced applying analytical and statistical methods to real business problems
- Experience with AI/ML evaluation, LLM-driven applications, or conversational AI
- Willingness to travel and work on-site with customers
Bonus skills:
- Experience in technical consulting, customer-facing analytics, or SaaS product data science
- Experience reframing problems, not just solving them; spotting when the initial question wasn't the right one
- Experience applying AI to scale the data science workflow
