Data Science Lead (MLOps & Advanced Analytics)

📋 Description

• Architect and deploy production-grade ML/AI solutions in a CI/CD/CT framework.
• Lead end-to-end ML system design with MLOps focus for reproducibility and scalability.
• Leverage Azure ecosystem (Databricks, Spark, Azure ML) to transform large data into scalable
• Deliver models as enterprise assets, not just notebook experiments.

🎯 Requirements

• 5–8 years total experience; 4+ years in hands-on Data Science; 2+ years leading teams or large
• BE/BS or MS/PhD in CS, Statistics, Mathematics, Physics, or related quantitative field.
• Advanced modeling and mathematics: deep learning, classical ML, Bayesian inference; time-series
• Engineering & MLOps: Python (Pandas, Scikit-learn, PySpark/TensorFlow), SQL
• Nice to Have: strategic translation, technical mentorship, Agile/Scrum, stakeholder management.

🎁 Benefits

• Remote work with EST time zone alignment; 3-month initial contract with quarterly renewals.
• BYOD policy; engagement & logistics details provided by employer.