Data Science Analyst

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 Science Analyst 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.

Requirements:

You’ll be a great fit if…

• You have at least 4 years of hands-on data analytics experience with proven record of leveraging modeling into business insights
• You are proficient in Python (typical data analytics and machine learning stack: pandas, numpy, scikit, statsmodels)
• You have great communication and storytelling skills to both technical and non-technical audiences
• Experience translating complex client requirements into actionable insights, and ability to present findings and strategies to stakeholders
• 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 are good at turning ambiguous problems into clearly defined sequence of steps
• You know to assess the performance of the ML-powered system from business environments perspective
• B.SC or Master’s degree in Economy / Statistics / Math
• You are proficient in using SQL (BigQuery / Dataform / GCP experience is a plus) and git
• Have a readiness and willingness to continuously learn while working
  
  

• Domain knowledge in travel industry (airlines, transportation, hospitality)
• Experience with causal inference, uplift modeling, anomaly detection or pricing algorithms
• Knowledge in mathematical optimization