Lead ML Scientist
Company: Visa
Location: Austin
Posted on: January 25, 2023
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Job Description:
Job Description
Payments are a very exciting and fast-developing area with a lot of
new and innovative ideas coming to market. With strong demand for
new solutions in this space, it promises to be an exciting area of
innovation for the next 5 to 10 years. VISA is a strong leader in
the payment industry and is rapidly transitioning into a technology
company with significant investments in this area.
If you want to be in the exciting payment space, learn fast and
make big impacts, VISA Payment Systems Risk group is an ideal place
for you!
The Payment Systems Risk development group is responsible for
building critical risk and fraud prevention applications and
services at Visa. This includes idea generation, architecture,
design, development, and testing of products, applications, and
services that provide Visa clients with solutions to detect,
prevent, and mitigate fraud for Visa and Visa client payment
systems.
This position is ideal for an experienced ML engineer who is
passionate about collaborating with business and technology
partners in solving challenging fraud prevention problems. You will
be a key driver in the effort to define the shared strategic vision
for the Payment Systems Risk platform and defining tools and
services that safeguard Visa's payment systems.
The right candidate will possess strong ML and Data Science
background, with demonstrated experience in building, training,
implementing and optimized advanced AI models for payments, risk or
fraud prevention products that created business value and delivered
impact within the payments or payments risk domain or have
experience building AI/ML solutions for similar industries.
A successful candidateisa technical leader with the ability to
engage in high bandwidth conversations with business and technology
partners and be able to think broadly about Visa's business and
drive solutions that will enhance the safety and integrity of
Visa's payment ecosystem.The candidate will help deliver innovative
insights to Visa's strategic products and business. This role
represents an exciting opportunity to make key contributions to
strategic offering for Visa. This candidate needs to have strong
academic track record and be able to demonstrate excellent software
engineering skills. The candidate will be a self-starter
comfortable with ambiguity, with strong attention to detail, and
excellent collaboration skills.
Essential Functions
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 three days a week, Tuesdays,
Wednesdays and Thursdays with a general guidepost of being in the
office 50% of the time based on business needs
Qualifications
Basic Qualifications:
--- 10 or more years of work experience with a Bachelor's Degree or
at least 8 years of work experience with an Advanced Degree (e.g.
Masters/ MBA/JD/MD) or at least 3 years of work experience with a
PhD
--- PhD in Computer Science, Operations Research, Statistics, or
highly quantitative field (or equivalent experience) with strength
in Deep Learning, Machine Learning, Data Mining, Statistical or
other mathematical analysis
--- Relevant coursework in modeling techniques such as logistic
regression, Na--ve Bayes, SVM, decision trees, or neural
networks
--- Expert in leading-edge areas such as Machine Learning, Deep
Learning, Stream Computing and MLOps
--- Ability to program in one or more scripting languages such as
Perl or Python and programming languages such as Java or Scala
--- Experience with one or more common statistical tools such SAS,
R, KNIME, Matlab
--- Excellent understanding of algorithms and data structures.
--- Excellent analytic and problem-solving capability combined with
ambition to solve real-world problems
--- Excellent interpersonal, facilitation, and effective
communication skills (both written and verbal) and the ability to
present complex ideas in a clear, concise way
--- Have great work ethics, and be a team player striving to bring
the best results as a team
--- Collaborate across engineering teams and leaders in Payments
Risk, Visa Research, AI Platform, Operations, and Infrastructure
(O&I), security and platform teams
Preferred Qualifications:
--- 12 or more years of work experience with a Bachelor's Degree or
8-10 years of experience with an Advanced Degree (e.g. Masters,
MBA, JD, MD) or 6+ years of work experience with a PhD
--- PhD degree in Computer Science or related field and 10+ years
of Machine Learning System Development Experience after PhD
--- High level of competence in Python, Spark, and Unix/Linux
scripts
--- Real world experience using Hadoop and the related query
engines (Hive / Impala)
--- Extensive experience with SAS/SQL/Hive for extracting and
aggregating data
--- Experience working with large datasets using tools like Pig or
Hive is a plus
--- Experience with Big Data and analytics leveraging technologies
like Hadoop, Spark, Scala, and MapReduce
--- Deep learning experience with TensorFlow is a plus
--- Experience with Natural Language Processing is a plus
--- Publications or presentation in recognized Machine Learning and
Data Mining journals/conferences is a plus
--- Experience with data visualization and business intelligence
tools like Tableau
--- Modeling experience in card industry or financial service
company using for fraud, credit risk, payments is plus
--- Proficiency in designing & solving classification/prediction
problems using open-source libraries such as Scikit learn
--- Experience in developing large scale, enterprise class
distributed systems of high availability, low latency, & strong
data consistency
--- Experience developing instrumentation for software components,
to help facilitate real-time and remote troubleshooting/performance
monitoring
--- Experience in architecting solutions with Continuous
Integration and Continuous Delivery in mind
--- Familiarity with in distributed in-memory computing
technologies
U.S. APPLICANTS ONLY: The estimated salary range for a new hire
into this position is 150,900 to 196,200 USD, which may include
potential sales incentive payments (if applicable). Salary may vary
depending on job-related factors which may include knowledge,
skills, experience, and location. In addition, this position may be
eligible for bonus and equity. Visa has a comprehensive benefits
package for which this position may be eligible that includes
Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid
Time Off, and Wellness Program.
Additional Information
Visa has adopted a COVID-19 vaccination policy to safeguard the
health and well-being of our employees and visitors. As a condition
of employment, all employees based in the U.S. are required to be
fully vaccinated for COVID-19, unless a reasonable accommodation is
approved or as otherwise required by law.
Work Hours: Varies upon the needs of the department.
Travel Requirements: This position requires travel5-10% 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.
Visa is an EEO Employer. Qualified applicants will receive
consideration for employment without regard to race, color,
religion, sex, national origin, sexual orientation, gender
identity, disability or protected veteran status. Visa will also
consider for employment qualified applicants with criminal
histories in a manner consistent with EEOC guidelines and
applicable local law.
Visa will consider for employment qualified applicants with
criminal histories in a manner consistent with applicable local
law, including the requirements of Article 49 of the San Francisco
Police Code.
U.S. APPLICANTS ONLY: The estimated salary range for a new hire
into this position is 150,900.00 to 196,200.00 USD, which may
include potential sales incentive payments (if applicable). Salary
may vary depending on job-related factors which may include
knowledge, skills, experience, and location. In addition, this
position may be eligible for bonus and equity. Visa has a
comprehensive benefits package for which this position may be
eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA,
Life Insurance, Paid Time Off, and Wellness Program.
Keywords: Visa, Austin , Lead ML Scientist, Other , Austin, Texas
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