MLOps & Engineering: Collaborate with Data Engineers to productionalize models. You will help maintain the ML lifecycle, including versioning, monitoring model drift, and automating retraining loops.
Insight Generation: Translate complex statistical findings into "Allstar-friendly" insights for stakeholders and executive leadership.
Feature Engineering: Architect high-signal features from raw clickstream, booking, and aircraft sensor data....
Up to 8 yrs relevant experience beyond first degree.
Experience with common data science toolkits, programming languages, visualisation tools and SQL/NoSQL databases.
Good applied statistical knowledge with emphasis in business and finance related statistical distributions, statistical testing, modeling, regression analysis, etc....