Level

Tavily

Data Scientist

Tavily is hiring a Data Scientist in Tel Aviv, Israel. Level rates it ; you can apply on Tavily.

Level's read on this job

  • Builds AI ●●●● is how Level rates this data scientist role: the job is building AI systems.
  • Tools and skills the posting cites include Claude, Databricks and Cursor.
  • Level classifies it as a mid-level role.
  • Level lists 17 other open roles at Tavily.

AI in this role

claudedatabrickscursorclaude-code
rag

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.

How we rate this

Data Scientist at Tavily rates 95 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGClaudeDatabricksCursorClaude Code

Also common in data scientist jobs at this level

Pay

Typical data scientist job
$166k

This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. Walk me through how you've used Claude in your day-to-day work.
  3. What are the limits of Databricks that you've run into, and how did you work around them?
  4. What's a project where you used Cursor hands-on?
  5. Walk me through how you've used Claude Code in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: RAG, Claude, Databricks, Cursor, and Claude Code. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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