Visa · 2 days ago
Lead Data Scientist - Director Level (IC)
Austin, TX
Full-time
Hybrid
Senior Level, Lead/Staff
$180K/yr - $288K/yr
10+ years expVisa is a world leader in payments and technology, and they are seeking a Lead Data Scientist to enhance their data capabilities. The role involves building machine learning and AI solutions, empowering teams to leverage data for smarter decisions, and contributing to Visa's strategic vision as a data-driven company.
BankingFinanceFinancial ServicesInformation TechnologyMobile PaymentsPayments
Responsibilities
Formulate business problems as technical data problems while ensuring key business drivers are collected in collaboration product stakeholders
Work with product and engineering to ensure effective solutions. Deliver prototypes and production code based on need
Experiment with in-house and third-party data sets to test hypotheses on relevance and value of data to business problems
Build needed data transformations on structured and un-structured data
Build and experiment with modeling and scoring algorithms. This includes development of custom algorithms as well as use of packaged tools based on machine learning, analytics, and statistical techniques
Devise and implement methods for efficiently monitoring model efficiency and performance in production
Devise and implement methods for automation of all parts of the predictive pipeline to minimize labor in development and production
Contribute to development and adoption of shared predictive analytics infrastructure
Data mining, processing and analyzing large datasets to generate insightful reports
Develop data modeling processes and algorithms to derive meaningful actionable insights from structured and unstructured big data
Utilize statistical analysis, data visualization, and machine learning techniques to extract meaningful insights from datasets. Identify and interpret patterns, trends, and correlations within payment data
Generate comprehensive dashboards and reports for organizational leadership to use in a business setting
Qualification
Required
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
Preferred
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
With a track record of successfully delivering complex software systems or services as Senior Data Scientist
Relevant coursework in modeling techniques such as logistic regression, Naïve Bayes, SVM, decision trees, or neural networks
Ability to program in one or more scripting languages such as Perl or Python and one or more programming languages such as Java, C++, or C#
Experience with one or more common statistical tools such SAS, R, KNIME, MATLAB
Deep learning experience with TensorFlow is a plus
Experience with Natural Language Processing is a plus
Experience working with large datasets using tools like Hadoop, Spark, MapReduce, Pig, or Hive is a must
Publications or presentation in recognized Machine Learning and Data Mining journals/conferences is a plus
Proficiency working with agile methodologies, ceremonies
Exceptional collaboration and partnership skills with the ability to work in a global environment, drive consensus in cross-functional teams and comfortable operating in a matrix setup
Demonstrated communications and interpersonal skills to interface well with diverse customer audience executives, product, and technology stakeholders
Solid business acumen, Strong customer centric mindset and Strategic thinker who can balance big picture strategy with tactical needs of day-day execution
Experience demonstrating strong leadership, self-motivation and accountability
Fast learner on both technical and business side
Proactive, demonstrate sense of urgency and can do attitude
Detail and results oriented, able to analyze data to justify product decisions and apply key learnings
Ability to stay organized while managing competing priorities
Shown leadership capabilities including significant thought leadership, effective decision making, and ability to work towards results
Excellent social skills with a strong emphasis on emotional intelligence to establish relationships with internal Visa teams and clients
Excellent written and oral communication skills with a flair for getting people excited
Benefits
Medical
Dental
Vision
401 (k)
FSA/HSA
Life Insurance
Paid Time Off
Wellness Program
Company
Visa
Visa is a multinational financial services company that facilitates electronic payment systems throughout the world.
10001+ employees
H1B Sponsorship
Visa has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (459)
2024 (424)
2023 (416)
2022 (515)
2021 (351)
2020 (407)
Funding
Current Stage
Public CompanyTotal Funding
unknownKey Investors
TNB Financial Services
2016-09-10Post Ipo Equity
2008-03-19IPO
Leadership Team
Ryan McInerney
Chief Executive Officer
Chris Suh
EVP & Chief Financial Officer
Recent News
2026-01-09
thepeninsulaqatar.com
2026-01-09
Company data provided by crunchbase