Visa-posted 3 months ago
$175,100 - $253,950/Yr
Full-time • Senior
Hybrid • Austin, TX
5,001-10,000 employees
Credit Intermediation and Related Activities

The Lead Data Scientist, you will play a crucial role in building our data capabilities, collecting, analyzing, driving insights, and delivering machine learning and AI solutions that enhance our offerings. Your will play a pivotal role in building the organization's 'data muscle', empowering teams to leverage data for smarter decisions, operational excellence and innovation. This is a unique opportunity to work in a fast-paced and startup environment where your contributions will have a direct impact. This role represents an exciting opportunity to make key contributions to Visa's strategic vision as a world-leading data-driven company. The role requires a seasoned professional with deep expertise in data strategy, analytics, governance paired with a hands-on and scrappy mindset to deliver impactful results. The successful candidate must have strong academic track record and demonstrate excellent software engineering skills. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and excellent collaboration skills. To be successful in this position, you must be highly effective working both independently and in cross-functional capacities.

  • 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.
  • 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.
  • 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.
  • Medical
  • Dental
  • Vision
  • 401 (k)
  • FSA/HSA
  • Life Insurance
  • Paid Time Off
  • Wellness Program
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