Sr Data Scientist - Visa Predictive Modeling
Sr Data Scientist - Visa Predictive Modeling
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Salary Not Disclosed
1 Vacancy
Job Description
Essential Functions
- Execute model development and performance tracking for risk models generate performance analysis at the aggregate level as well as issuer level. Interpret and present performance results to non technical audience.
- Compile complex predictive model packages for production deployment support model installations and monitor and calibrate production models
- Propel analytic product development via conducting statistical analyses on various data sources and add values to products by being innovative and applying the analysis
- Find opportunities to create and automate repeatable analyses or build self service tools for business users
- Support sales and business efforts with sound statistical and financial analysis execute ad hoc analyses to meet the fast changing market demands
- Conduct transaction data analyses with Hadoop Cloud and big data technologies for internal and external product owners and develop deeper insights into the products using advanced statistical methods
- Ensure project delivery within timelines and meet critical business needs
- Promote big data innovations and analytic education throughout the Visa organization
This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 23 set days a week (determined by leadership/site) with a general guidepost of being in the office 50% or more of the time based on business needs.
Qualifications :
Basic Qualifications
5 or more years of relevant work experience with a Bachelors Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters MBA JD MD) or 0 years of work experience with a PhD
Preferred Qualifications
6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters MBA JD MD) or up to 3 years of relevant experience with a PhD
A Masters Degree in a quantitative field such as Statistics Mathematics Operational Research Computer Science Economics or Engineering
Preference given to candidates with multiple years working experience in predictive modeling functions
Candidates with a PhD in a quantitative field such as Statistics Mathematics Operational Research Computer Science Economics or engineering preferred
Strong background in two or more of the following areas: machine learning AI algorithms computations statistical learning theory scalable systems (e.g. Spark Hadoop) large scale data analysis optimization functional analysis and deep learning.
Experience with a range advanced techniques and emerging approaches to big data and data science (Python Spark TensorFlow H2O Dask etc)extensive experience with SQL Hive for extracting and aggregating data
Good oral and written communication skills and attention to details
Must be a team player and capable of handling multitasks in a dynamic environment
Visa and financial payment industry knowledge or previous experience with fraud modeling is a plus but not required
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
