PCast AI is the leading Kubernetes automation platform for AWS, GCP and Azure customers. The company is on a mission to deliver a fully automated Kubernetes experience. What’s unique about Cast AI is that its platform goes beyond monitoring clusters and making recommendations; it utilizes advanced machine learning algorithms to analyze and automatically optimize clusters, saving customers 50% or more on their cloud spend, improving performance and reliability, and boosting DevOps and engineering productivity. /ppThe company has raised $73M from investors, including Cota Capital, Creandum, Uncorrelated Ventures, and Vintage Investment Partners. Cast AI has over 200 employees globally and is headquartered in Miami, Florida. /ppHowever, this is merely the beginning. Our product roadmap is filled with exciting innovations that are yet to come. We are searching for intelligent, motivated, and self-reliant people to help us fulfill this ambitious mission. /ppbCore values that hold us all together : /b /ppPRACTICE CUSTOMER OBSESSION. Focus on the customer journey and work backwards. Strive to deliver customer value and continuously solve customer problems. Listen to customer feedback, act, and iterate to improve customer experience. /ppLEAD. Take ownership and lead through action. Think and act on behalf of the entire company to build long-term value across team boundaries. /ppDEVELOP AND HIRE THE BEST. Strive to raise the performance bar by continuously investing in yourself, the team and by hiring the best possible candidates for every position. Drive towards personal development and professional growth, and mentor others to raise the collective bar. /ppEXPECT AND ADVOCATE CHANGE. Strive to innovate and accept the inevitable change that comes with innovation. Constantly welcome new ideas and opinions. Share insights responsibly with unwavering openness, honesty, and respect. Once a path is chosen, be ready to disagree and commit to a direction. /ppbRole overview /b /ppWe 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. /ppbResponsibilities /b /pulliDevelop Machine Learning Models : Create, validate, and maintain state-of-the-art algorithms, focusing on both tabular and time-series data /liliRun Data Science Experiments : Design, execute, and evaluate experiments to refine models and improve outcomes. /liliAnalyze Data : Perform deep-dive data analysis and deliver actionable insights to shape our business strategies. /liliCollaborate : Work closely with cross-functional teams to align data science projects with company goals. /liliStay Current : Keep up with the latest advancements in data science, cloud technologies, and DevOps. /liliMaster Databases : Write, debug, and optimize complex SQL queries while effectively navigating OLAP and OLTP systems. /li /ulpbRequirements /b /pulliExperience : 5+ years of hands-on experience in data science and machine learning, with a proven portfolio of impactful projects. /liliModelling Expertise : Experience in training tabular and time-series models using classical machine learning and deep learning approaches. /liliTechnical Skills : Proficiency in building data pipelines, training models, and conducting experiments using industry-standard tools. /liliDatabase 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). /liliProblem-Solving : Exceptional analytical skills with a detail-oriented and innovative approach to challenges. /liliCommunication : Strong verbal and written communication skills to collaborate effectively within a team. /liliCloud Containers : Experience with cloud platforms (AWS, GCP, Azure) and container tools like Kubernetes. /liliML Pipelines : Expertise in ML pipeline development, including data preprocessing, model training, deployment, and monitoring. /liliMLOps Tools : Familiarity with MLOps tools like MLflow or Feast. /liliOLAP Expertise : Hands-on experience with large-scale OLAP systems such as Clickhouse, BigQuery, or Snowflake. /liliAdvanced Modeling : Knowledge of advanced techniques for handling imbalanced datasets and other complex modeling challenges. /li /ulpbWhat's init for you? /b /pulliCompetitive salary (€6,500 - €9,000 gross, depending on the level of experience) with equity options /liliDirect impact on the product in a cutting-edge company that’s reshaping cloud automation and optimization /liliCollaborate with a global team of top cloud experts and innovators passionate about pushing the boundaries of Kubernetes technology /liliFast development cycles with a short feedback loop and direct customer impact /liliTransparent work environment /liliFocus time with minimal meetings and bureaucracy /lili10% of your time dedicated to self-improvement and personal projects. /li /ulpJ-18808-Ljbffr /p #J-18808-Ljbffr