Sr. Associate Data Scientist

Job Description

Are you skilled at turning hard numbers into compelling stories and useful strategic insights? Do you solve complex data challenges with creative flair? Put those skills to work answering strategic questions for one of the world's most respected and innovative payments companies.

In this role, you will be responsible for a range of duties from basic data analytics, to implementing and delivering advanced machine learning models, visualization solutions and high impact business projects. You will get chance to leverage your business acumen, programming skills, technical knowledge of big data and machine learning techniques. This function is critical in building market-relevant fraud solutions for our clients and intellectual property for Visa.

The position will be based at Foster City, CA

· Execute model implantation 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 marketing 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

Qualifications

· A Master’s Degree in a quantitative field, such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or engineering or Bachelor Degree with 2 years’ experience

· Successful internships or 6 month of experience in a predictive modeling function

· 2 or more years of work experience with a Master’s Degree

· 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 SAS/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 multi-tasks in a dynamic environment

· Visa and financial/payment industry knowledge or previous experience with fraud modeling is a plus, but not required

Additional Information

Incumbent must make themselves available during core business hours.

This position requires the incumbent to travel for up to 3% of the time.

This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers, reach with hands and arms, and bend or lift up to 25 pounds.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.