Data Scientist

Department
AI
Type
Full-time
Level
Location
Israel
About The Position

Data Scientist

Fetcherr experts in deep learning, algo-trading, e-commerce, and digitization, Fetcherr disrupts traditional systems with its cutting-edge AI technology. At its core is the Large Market Model (LMM), an adaptable AI engine that forecasts demand and market trends with precision, empowering real-time decision-making. Specializing initially in the airline industry, Fetcherr aims to revolutionize industries with dynamic AI-driven solutions.

We're looking for a Data Scientist to help us grow our advanced analytics team's capabilities. The ideal candidate is a data scientist with a relevant experience who is self-driven, motivated, independent and sharp.

About The Position

You’ll be a great fit if…

  • You have at least 5 years of hands-on data science experience with proven record of leveraging modeling into business outcome
  • You are proficient in Python (typical data analytics and machine learning stack: pandas, numpy, scikit, statsmodels)
  • You have an experience with causal inference, uplift modeling, anomaly detection or pricing algorithms
  • You have great communication and storytelling skills to transform complex data sources into meaningful insights for non-technical audiences
  • You are able to provide and recommend innovative solutions and approaches to non-trivial challenges
  • You’re a team player, ready to help others meeting aggressive timelines and motivate the team to meet the product deadlines
  • You know to assess the performance of the ML-powered system from business environments perspective
  • You are good at turning ambiguous problems into clearly defined sequence of steps 
  • B.SC or Master’s degree in Economy / Statistics / Math
  • You are proficient in using SQL (BigQuery / GCP experience is a plus) and git
  • Have a readiness and willingness to continuously learn while working

Great if you have them:

  • Domain knowledge in travel industry (airlines, transportation, hospitality)
  • Knowledge in mathematical optimization.

Application Form

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