What a Data Scientist Manager does at Visa:
- Conducting transaction data analysis with Hadoop/Cloud and big data technologies for internal and external clients and stakeholders, and develop deeper insights into the products using advanced statistical methods
- Creating user-friendly dashboards and presentations
- Building predictive models using advanced machine learning techniques, interpret and present modeling and analytical results to non-technical audience
- Executing on the analytic plan with appropriate data mining and analytic techniques
- Performing QA on data and deliverables by analysts and own deliverables
- Ensuring all project documentation is up to date and all projects are reviewed per analytic plan
- Ensuring project delivery within timelines
- Continually look at the environment to challenge our assumptions around new sources of data, potential analytics partners, tools, talent and infrastructure.
- Explore leading methodologies and best practices to other teams and importing successful methodologies from other international markets
Requirements
- Bachelor's degree in Economics, Finance, Computer Science, Statistics, or related quantitative field
- Minimum of 6 to 8 years of experience in performing data exploration and feature engineering
- Experience in working on multiple projects simultaneously
- Proficiency with modelling software, experience with Python, Hadoop, Hive, Impala or similar instruments
- Practical experience in building and applying machine learning models (regression, clustering, classification: gradient boosting, random forests, linear models, deep learning etc.), understanding in how do these algorithms work and end-to-end development skills from business understanding and data preparation to quality assurance of ML models