Data Scientist

Tavily
Tel Aviv
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 3+ yearsEducation: bachelorsSkills: ["Problem-solving","Communication","Teamwork"]

Data Scientist to join the Tavily data team, shaping cross-company decisions across GTM, Product, and Business functions by developing ML models, applying statistical methods to large datasets, partnering with stakeholders, and supporting production deployment and monitoring.

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FursaFursa
Tavily
Tavily
4 months ago

Data Scientist

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Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Data Scientist to join the Tavily data team, shaping cross-company decisions across GTM, Product, and Business functions by developing ML models, applying statistical methods to large datasets, partnering with stakeholders, and supporting production deployment and monitoring.
Location: Tel Aviv
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key 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

Key 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:3+ yearsAISaaSTechnology
Education:Bachelor's
Skills:Problem-solvingCommunicationTeamwork
Tech Stack:PythonSQLClaude CodeCursorGitSnowflakeDatabricks

Company Brief

Tavily
Tavily offers an AI-driven interview preparation and coaching platform that helps candidates practice mock interviews, receive personalized feedback, and track progress with analytics to improve interviewing skills and hiring outcomes.
Industry: EdTech
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