Data Scientist

7 dni temu


Warszawa, Mazovia, Polska Fetcherr Ltd Pełny etat

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 relevant experience who is self-driven, motivated, independent, and sharp.

About The Position

You'll be a great fit if…

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

Great if you have them:

  1. Domain knowledge in the travel industry (airlines, transportation, hospitality).
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