At least a Masters in a quantitative degree (Statistics, Operation Research, Systems Engineering, Computer Science, Applied Math, Economics), or Bachelor/Engineer degree with consecutive data science experience
At least 2 years experience with production grade Data Science / algorithmically enabled applications, with GenAI based solutions
Interest and preferably prior experience working on building tools for data scientists
Solid code writing capabilities - Python and Spark are preferable
Knowledge of Cloud Infrastructure: Microsoft Azure, Google Cloud Platform, Kubernetes
Proven success in leadership, problem solving and prioritising
Strong collaboration skills and working comfortably across teams
Nice to have: Desired experience with Big Data ecosystem: Databricks, Spark, BigQuery
Nice to have: Basic understanding of Business Intelligence Tools such as PowerBI, Tableau
Nice to have: Experience with Agile DevOps, Github, Jira
Responsibilities
Partner with product teams and business leaders to fully understand Agentic AI use cases
Collaborate with data scientists across the world to understand their user experience with building agents
Develop your own insights to steer the Agentic AI framework evolution roadmap
Answer business questions and propose solutions for business problems by applying GenAI and Agentic AI techniques and models
Further develop understanding of machine learning, statistics, optimization, GenAI and other advanced analytical models – and how to apply to real world problems
Further learn what it takes to build and maintain resilient algorithmic and agentic pipelines which pass the test of time, and what it takes for an algorithm to materialize its impact and value
Write production grade code applying best practices
Own the development and direction of the Agentic AI framework together with AI Engineers, ensuring it addresses growing use cases and provides superior UX for data scientists