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
Demonstrated experience with development and deployment of machine learning and AI solutions (applied statistics, machine learning, model evaluation, data visualization)
Demonstrated experience with data science and data engineering tools (scikit-learn, xgboost, pandas, numpy, scipy, jupyter notebook)
Demonstrated experience with software engineering tools and practices (Python, Git, Unit testing, CI/CD principles)
Demonstrated experience with visual analytics platforms (Tableau, Superset, Streamlit)
Demonstrated experience with database and other data storage technologies (SQL, NoSQL, Oracle, MySQL, S3, Athena, DynamoDB)
Demonstrated experience with cloud platform technology (AWS, MS Azure or Snowflake)
Demonstrated experience with system infrastructure in Linux (Bash, Docker, CRON, Apache Airflow)
Responsibilities
(No explicit responsibilities listed in the job description)