Applied Scientist

Job description

Job Description

Role Overview

As an Applied Scientist, you will help design and build intelligent systems that turn data, machine learning, and LLMs into measurable business impact. You will work across the full lifecycle of applied AI problems — from identifying opportunities and formulating hypotheses, to developing models and evaluation frameworks, and iterating based on real-world outcomes.

You will partner closely with cross-functional stakeholders to understand user needs, define success criteria, and translate complex technical approaches into actionable insights. Your work will sit at the intersection of science, product, and engineering, with a strong focus on delivering high-impact solutions that improve customer experience and business performance.

Key Responsibilities

• Own business-relevant metrics such as churn reduction, AI attach rate, and seller productivity, and use data and scientific thinking to identify opportunities for improvement

• Develop a deep understanding of users, their workflows, and pain points, and use those insights to inform what should be built next

• Define hypotheses, success criteria, and evaluation approaches for AI and ML systems

• Design, build, and evaluate LLM-powered applications, including agents, RAG systems, text-to-SQL solutions, and recommendation engines

• Establish robust feedback loops for intelligent systems by instrumenting, measuring, and learning from user and business outcomes

• Partner with engineers to move prototypes into production, ensuring scientific rigor and practical usability

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