Visa Off Campus Recruitment Drive: Visa Careers & Job Opportunity for the position of Associate, Data Science, Vida Consulting and Analytics at the Bangalore location.
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Overview of Visa Careers hiring for Associate, Data Science, Vida Consulting and Analytics:
Qualifications: Bachelor’s degree in an analytical field such as computer science, data engineering, data science, econometrics, or similar others (graduate degree is a plus)
Job Profile: Associate, Data Science, Vida Consulting and Analytics
Experience Required: 0-2+ years experience building end-to-end systems as a Data Scientist, ML Engineer, or Data Engineer (or equivalent)
Job Location: Bangalore
Visa Associate, Data Science, Vida Consulting and Analytics Hiring:
Team Summary
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 teams with a core focus on developing scalable Machine Learning and A.I. based applications for clients across the Asia Pacific region.
What an Associate, Data Science does at Visa:
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
- Identify and automate manual processes, optimize data delivery, re-design infrastructure for greater scalability and recurring client deliverables.
- 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 data solutions
- Find opportunities to craft products out of analyses that are suitable for multiple clients
Why this is important to Visa
As payments consulting arm of Visa, VCA is growing a team of highly specialized experts who can provide best-in-class payment expertise and data-driven strategies to clients. We are building a high-performing team of data scientists, data analysts and statisticians helping major organizations adapt and evolve to meet the changes taking place in technology, finance, and commerce, with cutting-edge, creative and advanced analytic solutions. The purpose of the team is to help Visa’s clients grow their business and solve problems by providing consulting services through the use of data.
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 two days a week, Tuesdays and Wednesdays with a general guidepost of being in the office 50% of the time based on business needs.
Qualifications
What you will need:
• 0-2+ years experience building end-to-end systems as a Data Scientist, ML Engineer, or Data Engineer (or equivalent)
• Bachelor’s degree in an analytical field such as computer science, data engineering, data science, econometrics, or similar others (graduate degree is a plus)
• Experience supporting model development and programming in Python or Scala
• Experience with developing and automating visualization tools, such as advanced user of Power BI, Tableau, MicroStrategy, open source tool, or similar
• Experience with extracting and aggregating data from large data sets using Hadoop, Spark, Kafka, or other tools
• Experience in automation, job scheduling, parametrizing data pipelines using Tuber, Shell scripting etc.
• Previous exposure to financial services, credit cards or merchant analytics is a plus, but not required
This notification is for the recruitment of Associate, Data Science, Vida Consulting and Analytics from Visa. You can apply through the given link for the profile of the Associate, Data Science, Vida Consulting and Analytics.
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How to apply Visa Off Campus Recruitment Drive for the role of Associate, Data Science, Vida Consulting and Analytics?
Apply Link/Registration Link of Visa Jobs and Careers at Bangalore location & for More Details: Click Here