Staff Data Scientist

Company Description

Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable and secure payments network, enabling individuals, businesses and economies to thrive.

When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement.

Join Visa: A Network Working for Everyone.

Job Description

We are currently seeking Manager level data scientist to drive model validation analytical projects and insights for Visa Predictive Models. The position will be based at Visa's office in Foster City CA.

The predictive modeling team within VAS department is responsible for building and maintaining major consumer behavior models to solve business problem for clients and issuers. The team closely collaborates with risk product stakeholders to understand the business problem in order to determine the most appropriate analytic approach that provides meaningful results to customers.

Responsibilities include delivering projects on time and within scope with an in-depth knowledge of big data and cutting edge data mining techniques as well as the use of predictive, classification, machine learning and alternate analytic algorithms for modeling and segmentation.

Responsibilities:

• Execute model validation, analyze model performance in terms of strength and stability.  Test newly developed models by regular statistical standards and procedures

• 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

• Define financial and analytic metrics to measure development and production outcomes and produce performance reports

• 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

• Work on cross functional teams and collaborate with internal and external stakeholders

• Promote big data innovations and analytic education throughout the Visa organization

• Ad-hoc data science/analytical projects.

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 2-3 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 in a quantitative subject such as statistics, mathematics, economics, engineering, or similar disciplines
• You have 3+ year of experience in developing statistical predictive models
• Prefer modeling experience in bankcard industry or financial service company using for fraud, credit risk, bankruptcy, or marketing
• You have real world experience using Hadoop and the related query engines (Hive / Pyspark/ Scala)
• You have a  high level of competence in Python, Spark and Unix/Linux scripts
• In depth knowledge of Machine Learning and AI procedures
• Experience with SAS/SQL/Hive for extracting and aggregating data
• Hands-on experience with deep learning preferred
• Proven ability of handing multi-tasks and probl