Senior Data Scientist (m/f/d)
KayzenJob Description
📋 Description Work with a global Data Science team on ML models processing terabytes of data. Develop and deploy scalable supervised and unsupervised algorithms. Explore data sources and research innovative data solutions. Conduct A/B tests to drive insights and improve strategy. Collaborate with ML Engineering to productionize models. Be part of Kayzen’s mission in the ad-tech industry. 🎯 Requirements Extensive Ad-Tech experience turning research into production data products. Strong code with clean, reproducible, well-tested results. Proficient with Python, Spark, Hadoop, Airflow, Docker, SQL. Experience with algorithms for large sparse datasets (prediction, clustering, outlier). Experience with neural networks for classification or regression. Bonus: reinforcement learning and large-scale optimization. 🎁 Benefits Directly working with Founders to drive direct impact. Exceptional career growth and learning opportunities. Multinational Ad-Tech team across many countries. Flexible work-from-home arrangement. Relocation opportunity to Berlin. Home-office setup budget ($500) and annual learning budget ($1,000).