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Founding ML/Data Scientist

Skills
Data ScienceDesignDjangoEngineeringForecastingMachine LearningPandas
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Strong statistics and experiment design skills
  • Deep experience with time series analysis
  • Ability to distinguish causation from correlation
  • Experience with forecasting uplift or causal models
  • Clean deployable Python using pandas NumPy and scikit-learn
  • Ability to ship models into production
  • Product mindset focused on revenue impact
  • Comfort working with messy sparse seasonal data
  • Experience using AI coding tools and multi-agent workflows

Nice to have

  • AI-first
  • Product thinker
  • Rigorous
  • Curious
  • Commercially minded

Day to day

  • Dig through Booking.com Airbnb and competitive pricing data to separate signal from noise
  • Design rigorous experiments and causal analyses to understand what drives bookings occupancy and promotion performance
  • Build deployable models and logic that turn insights into revenue inside a Django and ClickHouse stack
  • Shape the data strategy by identifying the highest-value signals enrichment opportunities and production features

Hiring process

  • 30-min non-technical call with the CTO
  • Take-home data challenge using a sample of real OTA data
  • 1-hour deep dive on your submission with the founding team
  • In-person meeting with both founders
  • Offer