Data Scientist
Role Overview
The Data Scientist at Tavily will focus on developing and maintaining machine learning models that drive data-driven decisions across various teams including Product and GTM. This mid-level role will involve analyzing complex datasets to extract insights and collaborating with stakeholders to address high-impact business challenges, directly influencing company-wide strategies.
Perks & Benefits
This remote position offers flexibility in work hours, promoting a healthy work-life balance. Tavily's culture emphasizes collaboration across cross-functional teams, providing opportunities for personal and professional growth. Employees can expect to engage with cutting-edge AI technologies and contribute to innovative projects that shape the future of web interaction.
Full Job Description
About Tavily:
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.
The Role: Data Scientist:
We are hiring a Data Scientist to join our data team, which plays a central role in shaping cross-company decisions across GTM, Product, and Business functions.
Responsibilities:
Develop, implement, and maintain machine learning models on business-related data
Apply statistical methods to analyze large, complex datasets and extract actionable insights
Partner with stakeholders across Product, GTM, and Business teams to identify opportunities and solve high-impact problems
Support deployment, evaluation, and monitoring of models in production environments
Requirements:
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
Tech stack:
Data warehouses and platforms such as Snowflake and/or Databricks – required
Experience working in modern data environments and pipelines
Education:
Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field – required
Master’s degree in a relevant field – preferred
Preferred qualifications:
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.
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