Not Specified years
The Data Scientist will develop advanced AI/ML and statistical models with a team of resident data scientists. Together, the team will lead analytic projects and advise business sponsors on how to use results most effectively. Best demonstrated practices must be followed with respect to analytic methods and documentation. This position will work closely with business partners to properly frame business problems in a way that clearly defines project objectives and identifies success criteria that yields value to the organization. The analyst will lead development efforts to test hypotheses, interpret results, and effectively delivers results to customers in an understandable format.
This role will perform the following duties:
Research data questions/issues – recommend enhancements to data acquisition/movement process to improve availability and quality of data supporting analytic models.
Apply appropriate AI/ML analytic techniques to determine if data supports the presented business case; translates results in understandable terms.
Apply data transformation techniques enabling robust data exploration from multiple perspectives.
Effectively lead analytic projects considering time, cost, and accuracy.
Align to and promote best practices; document as required.
Work with customers by actively listening to their needs and to offer feedback to ensure desirable outcomes.
Apply statistical theories and methods to solve practical business problems. Design and conduct experiments/surveys/pilots to validate results.
· Applied experience with Python, SQL, R, & pytorch
· Applied experience with neural nets, deep learning, and reinforcement learning preferred
· Exposure to Docker, Google Cloud, Kubernetes, Jenkins highly desirable
· Working knowledge of data warehouse and cloud data storage
· Microsoft Office products