Visa Jobs for
Fresher Graduates | Visa Hiring Data Scientist With 0-2 Yrs Experience | CTC:
20 LPA
Visa
Hiring Data Science Associate With 0-2 Yrs Experience | CTC : 20LPA
Visa Entry
Level Hiring Description:
|
Job
Title |
Associate,
Data Science |
|
Qualification |
BE/B.Tech/M.Tech/MBA
or Any Related |
|
Batch |
2022/2021/2020/2019 |
|
Salary |
20+
LPA |
|
Job
Location |
Bangalore |
|
Venue
Location |
Online |
|
Last
Date |
ASAP |
Associate,
Data Science, Visa Consulting and Analytics
- Bangalore, India
- Full-time
Company
Description
Visa is
a world leader in digital payments, facilitating more than 215 billion payments
transactions between consumers, merchants, financial institutions and
government entities across 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.
When you
join Visa, you join a culture of purpose and belonging – where your growth is
priority, your identity is embraced, and the work you do matters. We believe
that economies that include everyone everywhere, uplift everyone everywhere.
Your work will have a direct impact on billions of people around the world –
helping unlock financial access to enable the future of money movement.
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Join Visa: A
Network Working for Everyone.
Job
Description
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.
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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
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Projects you will be a part of:
The nature of projects in this role will focus on creating high-performance
algorithms, cutting-edge analytical techniques including machine learning and
artificial intelligence, and intuitive workflows and visualizations that allow
our users to derive insights from big data that in turn drive their businesses.
The team will also be involved in collaborating with regional solutions and
engineering teams as well as market data science teams.
• AI and ML Services: Identify and evaluate new technologies to improve
performance, maintainability, and reliability of our machine learning systems.
Support model development, with an emphasis on auditability, versioning, and
data security. Take offline models data scientists build and turn them into a
real machine learning production systems.
• Data Services: Lead development and maintenance of scalable data pipelines
and build out new integrations to support continuing increases in data volume
and complexity. Collaborates with data science teams to improve data models
that feed client data streams and insights. Works closely with engineering
teams to develop strategy for long term data platform architecture.
• Visualization Services: Lead implementation of best practices for data
visualization and content development. Integrating various datasets and
building data models for visualization in Tableau.
Additional
Information
Visa has
adopted a COVID-19 vaccination policy. As a condition of employment, all
employees based in the country where this job is located are required to be
fully vaccinated for COVID-19, unless a reasonable accommodation is approved or
as otherwise required by law.
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