Senior Data Scientist

Why Cast AI?Cast AI is the leading Application Performance Automation (APA) platform, enabling customers to cut cloud costs, improve performance, and boost productivity – automatically.Built originally for Kubernetes, Cast AI goes beyond cost and observability by delivering real-time, autonomous optimization across any cloud environment. The platform continuously analyzes workloads, rightsizes resources, and rebalances clusters without manual intervention, ensuring applications run faster, more reliably, and more efficiently.Headquartered in Miami, Florida, Cast AI has employees in more than 32 countries worldwide and supports some of the world’s most innovative teams running their applications on all major cloud, hybrid, and on-premises environments. Over 2,100 companies already rely on Cast - from BMW and Akamai to Hugging Face and NielsenIQ.What’s next? Backed by our $108M Series C, we’re doubling down on making APA the new standard for DevOps and MLOps, and everything in between.Core values that hold us all together:PRACTICE 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.LEAD. Take ownership and lead through action. Think and act on behalf of the entire company to build long-term value across team boundaries.DEVELOP 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.EXPECT 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.Role 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.Responsibilities Develop Machine Learning Models: Create, validate, and maintain state-of-the-art algorithms, focusing on both tabular and time-series data Run 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. Requirements Experience: 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. Bonus points Cloud & 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 in it for you? Competitive salary (€6,500 - €9,000 gross, depending on the level of experience) with equity options Direct impact on the product in a cutting-edge company that’s reshaping cloud automation and optimization Collaborate with a global team of top cloud experts and innovators passionate about pushing the boundaries of Kubernetes technology Fast development cycles with a short feedback loop and direct customer impact Transparent work environment Focus time with minimal meetings and bureaucracy 10% of your time dedicated to self-improvement and personal projects.