+ 10+ years of experience in deploying, monitoring and maintaining machine learning models in cloud environments
+ 3-5 years of experience in advanced data analysis on large data sets
+ 3-4 years experience in leading a small team
+ Strong experience working in a cross-functional environment supporting multiple areas of the business

**Skills & Qualifications** :

Demonstrated experience with:

+ Development and deployment of machine learning and AI solutions (applied statistics, machine learning, model evaluation, data visualization)
+ Data science and data engineering tools (scikit-learn, xgboost, pandas, numpy, scipy, jupyter notebook)
+ Software engineering tools and practices (Python, Git, Unit testing, CI/CD principles)
+ Visual analytics platforms (Tableau, Superset, Streamlit)
+ Database and other data storage technologies (SQL, NoSQL, Oracle, MySQL, S3, Athena, DynamoDB)
+ Cloud platform technology (AWS, MS Azure or Snowflake))