Data Scientist

We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent — but also informed.

We work with some of the most innovative teams in AI — from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it's powering sales assistants, research copilots, or internal knowledge tools, we're the missing link between LLMs and the real world.

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  Develop, implement, and maintain machine learning models on business-related data

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  Apply statistical methods to analyze large, complex datasets and extract actionable insights

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  Partner with stakeholders across Product, GTM, and Business teams to identify opportunities and solve high-impact problems

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  Support deployment, evaluation, and monitoring of models in production environments

• 3+ years of experience in Data Science

• Strong statistical background

• Solid understanding of classical machine learning models and algorithms

• Experience working with business data (e.g., product, marketing, revenue, user behavior)

• Proficiency in Python and SQL

• Experience with modern AI coding tools (e.g., Claude Code, Cursor)

• Experience working with Git

• Experience working in production environments

• Strong problem-solving skills and ability to work in a cross-functional environment

• This role is ideal for someone who wants to work at the intersection of data, product, and business, and have a direct impact on company-wide decisions.
  

• Data warehouses and platforms such as Snowflake and/or Databricks – required

• Experience working in modern data environments and pipelines

• Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field – required

• Master’s degree in a relevant field – preferred