Sr. Data Scientist
Company: Visa
Location: Arlington
Posted on: January 12, 2021
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Job Description:
Company Description As the world's leader in digital payments
technology, Visa's mission is to connect the world through the most
creative, reliable and secure payment network - enabling
individuals, businesses, and economies to thrive. Our advanced
global processing network, VisaNet, provides secure and reliable
payments around the world, and is capable of handling more than
65,000 transaction messages a second. The company's dedication to
innovation drives the rapid growth of connected commerce on any
device, and fuels the dream of a cashless future for everyone,
everywhere. As the world moves from analog to digital, Visa is
applying our brand, products, people, network and scale to reshape
the future of commerce. At Visa, your individuality fits right in.
Working here gives you an opportunity to impact the world, invest
in your career growth, and be part of an inclusive and diverse
workplace. We are a global team of disruptors, trailblazers,
innovators and risk-takers who are helping drive economic growth in
even the most remote parts of the world, creatively moving the
industry forward, and doing meaningful work that brings financial
literacy and digital commerce to millions of unbanked and
underserved consumers. You're an Individual. We're the team for
you. Together , let's transform the way the world pays. Job
Description 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 Promotebig
datainnovations 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, modelbuilding 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 Additional Information Work Hours: This position
requires the incumbent to be available during core business hours
Travel Requirements: This position requires the incumbent to travel
for work less than 5% of the time Mental/Physical Requirements:
This position will be 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, reach with hands and
arms, and bend or lift up to 25 pounds. Visa will consider for
employment qualified applicants with criminal histories in a manner
consistent with EEOC guidelines and applicable local law.
Keywords: Visa, Arlington , Sr. Data Scientist, Other , Arlington, Virginia
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