Data Scientist

Description/Fundamental Components :

- Develops complex algorithms and ML predictive models and determines analytical approaches and ML/AI modeling techniques to solve complex algorithmic problems

- Performs analyses of structured and unstructured data to solve multiple and complex business problems

- Demonstrated/Deployed ML solutions for both Supervised and Clustering problems using advanced statistical techniques with various algorithmic techniques such as Gradient Boosting Machines, SVM, etc.

- Applies analytical rigor and statistical methods to analyze large amounts of data, using advanced statistical techniques

- Manages large and complex analytical projects from data exploration, model building, performance evaluation and testing

- Collaborates with business partners to develop technical /business approaches and new or enhanced technical tools

- Interacts with internal and external peers and management to share highly complex information related to areas of expertise and/or to gain acceptance of new or enhanced technology / business solutions

Required Qualifications :

- 3+ or more years of progressively complex ML development and deployment experience

- Demonstrates proficiency in all areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and advanced in-depth specialization in some areas

- 2+ or more year python experience with various data science development environment such as Vertex.ai

- 3+ Professional level SQL, Python experience