Offer summary
Qualifications:
At least 3 years of experience in data science developing recommendation systems, Proficiency in programming with Python, SQL, and experience using Airflow, Hadoop, Spark, or Hive.
Key responsabilities:
- Develop high-load realtime (or semi-realtime) recommendation system for a wide range of automotive products
- Analyze user behavior data to enhance recommendations and provide valuable insights
- Design, implement, and maintain recommendation system algorithms and the overall system architecture for optimal data management and processing