Senior Data Scientist

Why CAST AI

CAST AI is the leading Kubernetes cost optimization platform for AWS GCP and Azure customers. The company is on a mission to deliver a fully automated Kubernetes experience. Whats 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 more than 120 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 selfreliant 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 longterm 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 forwardthinking team. In this pivotal role you will leverage data to drive operational excellence and spearhead the development of sophisticated machine learning models. Collaborate with toptier Machine Learning and Data Engineers to bring these models into production and provide AI expertise across the organization ensuring datadriven decisionmaking and innovative solutions.

Responsibilities

• Develop Advanced Models: Design validate and maintain stateoftheart data models and machine learning algorithms
• Data Analysis: Perform indepth data analysis and interpretation delivering actionable insights that shape our business strategy and decisionmaking processes
• Collaborative Projects: Lead and participate in crossfunctional projects working closely with various teams to achieve company objectives
• Industry Trends: Stay at the forefront of industry trends and advancements in data science cloud technologies and DevOps practices
• Data Integrity: Ensure strict compliance with data security measures and uphold the highest data integrity standards across all operations.

Requirements

• Experience: Minimum of 5 years of handson experience in Data Science and Machine Learning with a proven track record demonstrated through a robust portfolio of projects
  Technical Skills: Proficiency in programming languages such as Python and SQL
  ProblemSolving: Exceptional problemsolving skills and a meticulous attention to detail
  Communication: Excellent communication skills and the ability to thrive in a collaborative teamoriented environment.

Bonus points

• Advanced Modeling: Expertise in training tabular Transformer and/or Reinforcement Learning models
  Large Language Models: Experience with Large Language Models (LLMs)
  Cloud Technologies: Proficiency in cloudnative technologies and an understanding of cloud architecture (AWS GCP Azure or similar)
  ML Pipelines: Experience with ML pipeline tools and practices including data collection preprocessing model training deployment and monitoring
  MLOps Tools: Familiarity with MLOps tools such as MLflow Feast and Kubeflow
  LargeScale Processing: Experience with largescale data processing tools like Spark Ray and Apache Kafka.

Whats init for you

• Team of highly skilled professionals to work with and learn from
• Impact and visibility. Our organization is flat getting in touch with CEO or CTO is a common practice here
• Short feedback loop. We have an obsession with customer satisfaction. The ship features fast and gets instant feedback. Feature projects tend to be completed in 1 to 4 weeks depending on the scope
• Monthly salary from 6000 to 8000 (gross) depending on the level of experience
• Flexible working hours. We deliver instead of sitting in the office 8 to 5
• Skin in the game. Every employee gets a share of the company
• Time to focus on work with a minimum overhead of meetings bureaucracy etc.
• 10% time to focus on selfimprovement or personal projects.