Senior Data Scientist - AI Tooling

About Fin

Fin is a pioneering AI Customer Agent company focused on assisting enterprises in delivering flawless customer experiences. Our flagship AI Agent, Fin, is the market's top-performing AI Customer Agent, supporting businesses throughout the customer journey—from service and sales to ecommerce. Utilizing proprietary AI models, Fin efficiently manages complex customer problems across multiple channels with minimal integration effort. Additionally, Fin integrates seamlessly with the Intercom help desk, providing a unified platform tailored for modern support teams.

Established in 2011, Fin rapidly grew to become one of the largest privately held software companies globally, with nearly 30,000 worldwide businesses leveraging our solutions to revolutionize their customer support workflows. Our culture emphasizes pushing boundaries, rapid development, and consistently delivering outstanding value to customers.

Role Overview

The Research, Analytics & Data Science (RAD) group translates deep insights into actionable outcomes. We explore customer, product, and business data, crafting tools and decision systems that are embedded within go-to-market (GTM) workflows.

AI advancements have enabled a new wave of internal tools for our GTM teams. Moving beyond static analytics dashboards, we develop workflows powered by large language models (LLMs) and intelligent agents that automate tasks such as account research, interaction summarization, tailored outreach drafting, renewal risk alerting, and document creation—ultimately allowing Sales and Success teams to concentrate on meaningful engagements.

The RAD team collaborates closely with GTM Systems to identify challenges, devise solutions, and assess impact from early prototypes to full production systems.

This role offers substantial responsibility and suits candidates who excel amid ambiguity, enjoy solving complex real-world problems, and are passionate about delivering measurable business results.

Key Responsibilities

• Develop, test, and deploy AI-driven internal tools tailored for GTM scenarios. These include capabilities like account research and summaries, recommendation engines for next steps, renewal likelihood prediction, pipeline risk assessment, automated QBR/autobrief creation, and summarizing calls with follow-up suggestions.
• Lead end-to-end project development—from defining problems and modeling data to building production-ready tools comprising Python-based backends and React frontends.
• Rapidly prototype features in collaboration with users, then promptly productionize solutions to iteratively maximize impact.
• Establish success metrics based on real-world application and business outcomes such as enhanced win rates, improved conversion, and account expansion.
• Promote and support adoption by creating detailed documentation, conducting training sessions, and assisting leaders in operationalizing new tooling throughout teams.

Required Skills and Experience

• Demonstrated experience applying data science with quantifiable impact on GTM metrics like conversion rates, sales cycles, or customer retention.
• Expertise using large language models and machine learning applications, including familiarity with retrieval-augmented generation (RAG), prompt and tool design, vector search techniques, and evaluation methods, with practical use of AI in development processes.
• Advanced SQL proficiency and fluency in Python or R programming, applying analytical and statistical approaches to solve business challenges.
• Experience deploying dependable data workflows using orchestration tools such as DBT and Airflow.
• Excellent communication skills paired with empathy for non-technical stakeholders to clarify complex data concepts.
• A collaborative product-oriented mindset with ease in working with Sales and Success teams to convert uncertain requirements into well-defined deliverables.

Benefits and Work Environment

• Competitive salary package paired with equity opportunities in a rapidly expanding startup environment.
• Daily complimentary lunch during the workweek, access to a variety of snacks, and a fully stocked kitchen.
• Regular salary reviews rewarding high performance.
• Comprehensive life assurance along with health and dental coverage for employees and their dependents.
• Flexible vacation policy enabling time off as needed.
• Paid maternity leave and six weeks paid paternity leave to support family time.
• Use of MacBooks and an openness to provide any other equipment needed to perform effectively.

Policies

Fin supports a hybrid working arrangement, encouraging in-office presence at least three days per week to enhance connection, ease collaboration, and maintain a positive company culture, while allowing work-from-home flexibility.

Our workplace fosters a radically open and inclusive culture where divisive social or political topics are avoided to maintain safety and cohesion. Employees are free to express personal opinions on non-work subjects on personal time without fear of challenge or confrontation. The collective focus remains on achieving excellence through our core values.

Fin is firmly committed to equal employment opportunity, ensuring non-discrimination on any legally protected grounds including race, gender, age, disability, veteran status, sexual orientation, and more, in all hiring and employment practices.