Senior Data Scientist

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch

Job Description

You're an Individual. We're the team for you. Together, let's transform the way the world pays.

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.

• Essential Functions

• Be an out-of-the-box thinker who is passionate about brainstorming innovative ways to use our unique data to answer business problems

• Communicate with clients to understand the challenges they face and convince them with data

• Extract and understand data to form an opinion on how to best help our clients and derive relevant insights

• Develop visualizations to make your complex analyses accessible to a broad audience

• Partner with a variety of Visa teams to provide comprehensive solutions

• Find opportunities to craft products out of analyses that are suitable for multiple clients

• Work with stakeholders throughout the organization to identify opportunities for leveraging Visa data to drive business solutions

• Synthesize ideas/proposals in writing and engage in productive discussions with external or internal stakeholders

• Mine and analyze data from company databases to drive optimization and improvement of product, marketing techniques and business strategies for Visa and its clients

• Assess the effectiveness and accuracy of new data sources and data gathering techniques.

• Develop custom data models and algorithms to apply to data sets.

• Use predictive modeling to increase and optimize customer experiences, revenue generation, data insights, advertising targeting and other business outcomes.

• Develop processes and tools to monitor and analyze model performance and data accuracy

• Broad knowledge across the entire data science lifecycle, including data engineering, statistics and governance

• Provide guidance in modern analytic techniques and business applications to unlock the value of Visa’s unique data set, in keeping with market trends, client needs and emerging techniques

• Organize and manage multiple data science projects with diverse cross-functional stakeholders

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. Master’s, 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.

• 4+ years’ experience in data-based decision-making or quantitative analysis

• Bachelor’s degree in an analytical field such as statistics, operations research, economics, computer science or many others (graduate degree is a plus)

• Experience with extracting and aggregating data from large data sets using SQL or other tools

• Competence in Excel, PowerPoint and Tableau

• Experience in understanding and analyzing data using statistical software (e.g., Python, SAS, R, Stata or others)

• Experience in managing analytics/data science projects from scoping to delivery

• Previous exposure to financial services, credit cards or merchant analytics is a plus, but not required