Data Science with ML

Experience with Machine Learning, Data Science, Data Engineering principles and technologies such as R, Python, SQL.
Experience delivering and managing AI/ML based software products.
Experience with agile software development methodology.
Proven experience with data engineering and ETL techniques using data from a wide variety of data sources.
Rigorous understanding of statistics/machine learning and ability to discern appropriate analytics techniques to problem-solve.
Knowledge of data warehouse, data lakes, and cloud architecture (Teradata, Google Cloud Platform, AWS etc.)
Ability to work in a fast-paced environment, managing multiple projects and stakeholders.