Required Qualifications:

• 4+ years of experience in machine learning/data science and business intelligence.
• Proven track record in experimentation, causal analysis and developing machine learning systems for business use-cases, root-cause analysis and data visualization techniques.
• Strong experience with cloud platforms (Azure preferred) and infrastructure as code (e.g., Terraform, ARM templates).
• Demonstrated ability to lead initiatives, mentor junior team members, and influence cross-functional teams.
• Hands-on experience in building and deploying ML models in a cloud environment (preferably Azure).
• Programming experience in R, Python and big data environments.
• Understanding of CI/CD tools and workflows (Azure DevOps, GitHub Actions).
• Strong experience in model monitoring, retraining, and setting up complex experiments to measure business results.

Preferred Qualifications:

• Experience with Statistical modeling, A/B experimentation and building metrics for large scale user facing Artificial Intelligence products.
• Experience with human-in-the-loop machine learning.
• Experience with real world system building and data collection, including design, coding and evaluation.
• Experience using LLMs (Large Language Models) to build reliable metrics & gather insights.
• Customer focused, strategic, drives for results, is self-motivated, and has a propensity for action.
• Fantastic problem solver: ability to solve problems that the world has not solved before.
• Knowledge of responsible AI practices, including fairness, transparency, and bias mitigation.
• Strong communication skills and the ability to work in a fast-paced, collaborative environment.