OverviewWe are seeking a dynamic and innovative Senior Data Scientist to join our forward-thinking team. In this pivotal role, you will leverage data to drive operational excellence and spearhead the development of sophisticated machine learning models. Collaborate with top-tier Machine Learning and Data Engineers to bring these models into production and provide AI expertise across the organization, ensuring data-driven decision-making and innovative solutions.ResponsibilitiesDevelop Machine Learning Models : Create, validate, and maintain state-of-the-art algorithms, focusing on both tabular and time-series dataRun Data Science Experiments : Design, execute, and evaluate experiments to refine models and improve outcomes.Analyze Data : Perform deep-dive data analysis and deliver actionable insights to shape our business strategies.Collaborate : Work closely with cross-functional teams to align data science projects with company goals.Stay Current : Keep up with the latest advancements in data science, cloud technologies, and DevOps.Master Databases : Write, debug, and optimize complex SQL queries while effectively navigating OLAP and OLTP systems.RequirementsExperience : 5+ years of hands-on experience in data science and machine learning, with a proven portfolio of impactful projects.Modelling Expertise : Experience in training tabular and time-series models using classical machine learning and deep learning approaches.Technical Skills : Proficiency in building data pipelines, training models, and conducting experiments using industry-standard tools.Database Knowledge : Advanced SQL skills, including the ability to debug complex queries and a solid understanding of OLTP vs. OLAP systems (experience with OLAP systems is a plus).Problem-Solving : Exceptional analytical skills with a detail-oriented and innovative approach to challenges.Communication : Strong verbal and written communication skills to collaborate effectively within a team.Premio pointsCloud & Containers : Experience with cloud platforms (AWS, GCP, Azure) and container tools like Kubernetes.ML Pipelines : Expertise in ML pipeline development, including data preprocessing, model training, deployment, and monitoring.MLOps Tools : Familiarity with MLOps tools like MLflow or Feast.OLAP Expertise : Hands-on experience with large-scale OLAP systems such as Clickhouse, BigQuery, or Snowflake.Advanced Modeling : Knowledge of advanced techniques for handling imbalanced datasets and other complex modeling challenges.What's init for you?Competitive salary (€6,500 - €9,000 gross, depending on the level of experience) with equity optionsDirect impact on the product in a cutting-edge company that's reshaping cloud automation and optimizationCollaborate with a global team of top cloud experts and innovators passionate about pushing the boundaries of Kubernetes technologyFast development cycles with a short feedback loop and direct customer impactTransparent work environmentFocus time with minimal meetings and bureaucracy10% of your time dedicated to self-improvement and personal projects.
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