Roles and responsibilities:
•Develop custom data models and algorithms to apply to data sets.
•Use predictive modeling to increase and optimize customer experiences, revenue generation, loyalty targeting, and other business outcomes.
•Coordinate with different functional teams to implement models and monitor outcomes.
•Develop processes and tools to monitor and analyze model performance and data accuracy.

Qualifying factors:
•Strong problem-solving skills with an emphasis on product development.
•Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
•Knowledge of a variety of machine learning techniques (XGBoost, clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
•Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
•Excellent written and verbal communication skills for coordinating across teams.
•A drive to learn and master new technologies and techniques.
•Familiarity with the following software/tools:
oKnowledge and experience in statistical and data mining techniques: XGBoost, text mining, GLM/Regression, Random Forest, Boosting, Trees,
oExperience querying databases and using statistical computer languages: R, Python, SLQ, etc.
oExperience using AWS AI/ML, XG boost, AWS comprehend and Tesseract
oExperience using web services, AWS API gateways, etc.

Key Competencies:
•Excellent presentation and communication skills
•Communicating insights to technical as well as non-technical audiences

Educational Requirement:
•We are looking for someone with prior experience manipulating data sets and building models for document classification and OCR.
•Certification in any of the above areas (e.g. AWS) would be a plus.
•The candidate must be able to articulate and present insight into the working of relevant algorithms and models.