Must-have Skills: Bachelor's required; Master's preferred in STEM; 3+ years in data science, analytics, or applied ML.; Strong Python + SQL expertise.; Experience with Spark and Databricks for scalable data processing.; Clear understanding of linear regression and clustering techniques-; Familiarity with cloud ML services like Azure ML.; Experience applying MLflow or similar experiment-tracking tools.; Strong understanding of experimentation, A/B testing, and validation methods. Nice-to-have: AI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows. Experience with deep learning or modern NLP stacks (Transformers, spaCy). Familiarity with CI/CD concepts or basic MLOps practices. Industry experience in forecasting, operations, or customer analytics. What we offer: A High-Impact Environment; Commitment to Professional Development; Flexible and Collaborative Culture; Global Opportunities; Vibrant Community; Total Rewards.