Why CAST AI?

CAST 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.

The company has raised $73M from investors, including Cota Capital, Creandum, Uncorrelated Ventures, and Vintage Investment Partners. CAST AI has nearly 200 employees globally and is headquartered in Miami, Florida.

However, 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.

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 overview

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.

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?

• Join a fast-growing, cutting-edge company that’s redefining cloud-native automation and optimization.
• Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
• Enjoy a flexible, remote-first work environment with opportunities to travel and engage with customers worldwide.
• Receive a competitive compensation package, equity options, and extensive benefits.
• Benefit from a short feedback loop, where our customer-oriented approach means we ship code changes fast to receive customer feedback immediately.
• Experience focus time with a minimum of meetings, bureaucracy, and overhead.
• Dedicate 10% of your time to self-improvement and personal projects.
• Earn an monthly salary from €6000 to €8000 (gross) depending on the level of experience.