Candidates should have significant hands-on experience with analytical projects using AI/ML techniques.
Candidates will be expected to successfully prioritize and manage multiple analytical projects / ad-hoc requests
Hands-on experience in Predictive and Prescriptive Analytics
Good exposure to various techniques like linear/logistic regression models, discrete choice models, time-series models, dimensionality reduction, and unsupervised learning techniques
Good exposure to dashboarding tools like Qliksense, PowerBI
Good technical depth with strong analytical/programing skills and ability to apply technical knowledge
R / SAS / Python/SQL or other quantitative analysis programming skills
Should have strong hands-on experience in GitHub and GCP tools such as Big query, vertex AI, data proc, ETL in GCP, deployment and GenAI, artifact registry in GCP.