Sr Data Scientist

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in 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 while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

• Build and validate predictive models with advanced machine learning techniques and tools such as deep neural networks to drive business value, interpret and present modeling and analytical results to non-technical audience
• Write and test complex predictive model software packages for production deployment, support model installations, and monitor and calibrate production models
• Define financial and analytic metrics to measure development and production outcomes and produce visualization and reports to internal business customers
• Propel analytical product development via conducting statistical analyses on various data sources, add values to product development by being innovative and applying the analysis results
• Conduct transaction data analyses with Hadoop , Spark and big data tools for internal and external product owners, and develop deeper insights into the products using advanced statistical and machine learning methods.

This is a remote position. A remote position does not require job duties be performed within proximity of a Visa office location. Remote positions may be required to be present at a Visa office with scheduled notice.

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
• 1 years of experience with Big Data tools , e.g. Hive, Impala, Spark
Experience with production model development, implementation and
monitoring
• Experience in deep artificial neural network , e.g. RNN, CNN, natural language
processing or graph database analytics
• Experience with data visualization and business intelligence tools like Tableau
• …