Senior Data Scientist
Descrizione dell'offerta
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.
Originally built for Kubernetes, Cast AI offers 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 over 32 countries and supports some of the world's most innovative teams, including BMW, Akamai, Hugging Face, and NielsenIQ.
Backed by a $108M Series C, we are focused on making APA the new standard for DevOps and MLOps.
Core values:
- Customer Obsession: Focus on the customer journey, deliver value, and continuously improve based on feedback.
- Leadership: Take ownership, act decisively, and build long-term value.
- Best Talent: Invest in personal and team development, hire top candidates, and mentor others.
- Embrace Change: Innovate, welcome new ideas, and adapt quickly.
Role overview
We seek a dynamic Senior Data Scientist to leverage data for operational excellence and develop advanced machine learning models. You will collaborate with ML and Data Engineers to deploy models and provide AI expertise organization-wide.
Responsibilities
- Develop Machine Learning Models: Create, validate, and maintain algorithms for tabular and time-series data.
- Run Data Science Experiments: Design and evaluate experiments to improve models.
- Analyze Data: Perform in-depth analysis and deliver actionable insights.
- Collaborate: Work with cross-functional teams to align projects with company goals.
- Stay Current: Keep up with latest advancements in data science, cloud, and DevOps.
- Master Databases: Write and optimize complex SQL queries, understand OLAP and OLTP systems.
Requirements
- 5+ years experience in data science and machine learning with impactful projects.
- Experience with training models on tabular and time-series data using classical and deep learning methods.
- Proficiency in building data pipelines, training models, and conducting experiments with industry tools.
- Advanced SQL skills, debugging complex queries, understanding OLTP vs. OLAP; experience with OLAP systems is a plus.
- Strong analytical, problem-solving, and communication skills.
Bonus points
- Experience with cloud platforms (AWS, GCP, Azure) and Kubernetes.
- Expertise in ML pipelines and MLOps tools like MLflow or Feast.
- Hands-on with large-scale OLAP systems (Clickhouse, BigQuery, Snowflake).
- Knowledge of advanced modeling techniques for complex datasets.
What’s in it for you?
- Competitive salary (€6,500 - €9,000 gross) with equity options.
- Impact on a cutting-edge product reshaping cloud automation.
- Work with a global team of cloud experts and Kubernetes innovators.
- Fast development cycles with direct customer impact.
- Transparent and minimal-bureaucracy work environment.
- Focus time for self-improvement and personal projects (10%).