Data Scientist/Assistant Vice President - Model Development

- 8+ years of analytics experience including model development, prior experience in Fraud analytics preferrable.

- Good knowledge of Python, SQL, and Big Data. Working knowledge of the pros, cons, and usage of various ML/DL applications (such as Keras, TensorFlow, Python Scikit, etc.)

- Advanced analytical and business strategy skills.

- The individual should be able to work on Logistic Regression/ ML Model development irrespective of development environment regardless of the programming language, provide thought leadership for all data solution that includes designing, developing and implementing Machine Learning solutions

Analytics experience preferably in BFSI domain with proficiency in basic statistics, hypothesis testing, segmentation and predictive modeling. Comfortable in decision tree (CHAID/CART), Logistic Regression, exploratory data analysis. Strong in SAS, SQL, Hive, Impala and Excel. Knowledge in Python is desirable. Prior experience in Fraud Analytics is preferrable. Knowledge in Tableau or any other data visualization tool is preferrable.

- Project Management

- Project and process management skills

- Excellent written and verbal communications skill

- Experience with a prior focus in financial services analytics.

- Solid organizational skills and ability to manage multiple projects at one time.

- Self-starter who also has a demonstrated ability to work successfully in team environment and drive