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Sr. Data Scientist

Arlington, VA, USA | Visa

  • Industry:
    Financial Services
  • Position Type:
    Full-Time
  • Functions:
    IT / Information Technology
  • Experience:
    3-5 years
    5-7 years
    7-10 years
Job Description:
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Job Description and Responsibilities


To ensure that Visa’s payment technology is truly available to everyone, everywhere requires the success of our key bank or merchant partners and internal business units. The Global Data Science group supports these partners by using our extraordinarily rich data set that spans more than 3 billion cards globally and captures more than 100 billion transactions in a single year. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. We work in complementary teams comprising members from Data Science and various groups at Visa. To support our rapidly growing group we are looking for Data Scientists who are equally passionate about the opportunity to use Visa’s rich data to tackle meaningful business problems. You will join one of the Data Science focus areas (e.g., banks, merchants & retailers, digital products, marketing) with an opportunity for rotation within Data Science to gain broad exposure to Visa’s business.


Visa has the world’s largest consumer payment transaction data set.We see data on over 100 billion transactions per year from all over the world. Visa Predictive Models (VPM) team develops and maintains predictive machine learning models to primarily support Visa Global Data Products, Security and Identity Products, and Cardinal Commerce. Using mostly VisaNet data and leveraging Machine Learning (ML) and Artificial Intelligence (AI), our model scores help Visa clients all over the world for fraud defense, identity verification, smart marketing, credit underwriting and etc. Through our models and services, VPM fuels the growth of Visa clients, generates and diversifies revenues for VISA, greatly improving Visa Card customer experience and their financial lives.


Essential Functions:


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


Secondary Responsibilities:


Support sales and marketing efforts with sound statistical and financial analysis; execute ad-hoc analyses to meet the fast-changing market demands

Develop business requirements and appropriate statistical analysis/prototypes to meet critical business needs

Derive and develop new attributes/features for modeling to grow analytic products

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

Promote big data innovations and analytic education throughout the Visa organization


Qualifications


Basic Qualifications:


4 years of work experience with a Bachelor’s 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 degree


Preferred Qualifications:


7-10 years of work experience and a Bachelor’s Degree or 6 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 years of 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

Experience in an Agile development environment

Proven ability to quickly learn and apply new techniques

Must be a team-player and capable of handling multi-tasks in a dynamic environment

Excellent business writing, verbal communication, and presentation skills

Excellent project management skills


Technical Qualifications


Proficiency in Python programming language

Proficiency in Python data analysis, model building and visualization libraries

Proficiency with SQL (e.g. Hive, Impala)

Experience with Spark and MLlib is a plus

Experience with script and shell programming is a plus

Experience with SAS is a plus but not required


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