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.

About the role

We 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.

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.