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  • ID
    #16717574
  • Job type
    Full-time
  • Salary
    TBD
  • Source
    Visa
  • Date
    2021-07-12
  • Deadline
    2021-09-10

Senior Data Scientist

Virginia, Arlington, 22201 Arlington USA
 
Full-time

Vacancy expired!

Job Description

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.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.

Primary Responsibilities:

  • 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:

  • 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

Qualifications

Basic Qualifications

  • 5 years of relevant 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

Preferred Qualifications

  • 6+ years of work experience with a Bachelor’s Degree or 4 +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
  • Experience with production model development, implementation and monitoring
  • Experience in deep artificial neural network (e.g., RNN, CNN), or graph database analytics
  • Experience in Agile development
  • 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
  • Proficiency in Python data analysis and modeling
  • Proficiency in SQL
  • Proficiency in Spark
  • Experience with script and shell programming in Unix/Linux

Additional Information

Work Hours

Incumbent must make themselves available during core business hours.

Physical Requirements

This position, in future, maybe 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, and reach with hands and arms.

Travel Requirements

This position requires the incumbent to travel for work less than 5%of the time

Universal acceptance for everyone, everywhere, is not only our brand promise, it’s the foundation of our company culture. We foster a feeling of connectedness in the workplace, support diversity of thought, culture and background, fight for important initiatives like Equal Pay and actively work to eliminate unconscious biases that hold us all back.

By leveraging the diverse backgrounds and perspectives of our worldwide teams, Visa is a better place to work and a better business partner to our clients.

All your information will be kept confidential according to EEO guidelines.

Vacancy expired!

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