Senior Data Scientist (Look-2-Book)

Description: Lead end-to-end machine learning projects, ensuring fast time-to-market and model quality. Collaborate with Data Engineers and Analysts to build data pipelines and define metrics. Solve complex travel/B2B problems through mathematical and ML modeling tasks. Develop, train, and validate machine learning models to enhance B2B user experience. Requirements: 4+ years of experience as a Data Scientist or ML Engineer. Strong business mindset to translate objectives into ML tasks. Proficient in classic ML algorithms (e.g., Gradient Boosting, Classification, Regression). Experience with entity matching, Recommendation Systems, and Ranking approaches. Skilled in handling large datasets with SQL and PySpark. Ability to write production-quality Python code and deploy models. Benefits: Flexible work schedule with options for remote, office, or hybrid work. Support for employee growth through training programs and language learning. Corporate discounts on travel services to encourage travel. MyTime Day Off for personal matters and well-being.