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Senior Staff Data Scientist - Director level - job 5 of 20

The Senior Staff 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.

 

Essential Functions

  • 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.

 

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 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Average salary estimate

$175000 / YEARLY (est.)
min
max
$150000K
$200000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Senior Staff Data Scientist - Director level, Visa

At Visa, we're on the lookout for an innovative and experienced Senior Staff Data Scientist at the Director level in Austin! If you're passionate about building data capabilities and driving insights through cutting-edge machine learning and AI solutions, this role is perfect for you. You'll have the exciting responsibility of shaping our organization's 'data muscle,' empowering teams to leverage data effectively for smarter decisions and operational innovation. In our fast-paced startup environment, your contributions will have a direct impact on Visa's strategic vision as a leading data-driven company. We’re seeking a seasoned professional with deep expertise in data strategy, analytics, and governance. You'll need to combine your strong academic background with excellent software engineering skills to deliver impactful results. As a self-starter who thrives in ambiguous situations, you'll collaborate with cross-functional teams to address key business drivers and translate complex business problems into manageable data challenges. You’ll work hands-on with both structured and unstructured data, experimenting with various algorithms and modeling techniques to extract valuable insights. This hybrid position allows you to balance your time between working remotely and in our office, contributing to a culture of collaboration and innovation. If you're ready to make an impact and drive change in the world of data science, we can't wait to hear from you!

Frequently Asked Questions (FAQs) for Senior Staff Data Scientist - Director level Role at Visa
What are the key responsibilities of a Senior Staff Data Scientist at Visa?

As a Senior Staff Data Scientist at Visa, your key responsibilities include formulating business problems into technical data challenges, collaborating with product and engineering teams to deliver solutions, and experimenting with various data sets to extract valuable insights. You'll also be tasked with building data transformations, developing machine learning models, and contributing to the predictive analytics infrastructure.

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What qualifications are needed for a Senior Staff Data Scientist position at Visa?

To qualify for the Senior Staff Data Scientist role at Visa, you should have a strong academic background in a related field, proven software engineering experience, and deep expertise in data strategy and analytics. Being a self-starter with excellent collaboration and attention to detail will also be essential for success.

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How does the Senior Staff Data Scientist contribute to Visa’s data-driven initiatives?

The Senior Staff Data Scientist plays a crucial role in enhancing Visa's data capabilities by building algorithms, analyzing large datasets, and delivering machine learning solutions that align with strategic business goals. Your insights will directly contribute to driving innovation and operational excellence across the organization.

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Is the Senior Staff Data Scientist role at Visa remote or hybrid?

The Senior Staff Data Scientist position at Visa is hybrid, which means you will have the flexibility to work both remotely and in the office. You will typically need to work from the office 2-3 days a week, ensuring effective collaboration with your team.

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What technologies and techniques should a Senior Staff Data Scientist at Visa be proficient in?

You should be proficient in machine learning techniques, statistical analysis, data visualization, and have experience working with both structured and unstructured datasets. Knowledge of building algorithms and data modeling processes will be key to your success in the Senior Staff Data Scientist role at Visa.

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Common Interview Questions for Senior Staff Data Scientist - Director level
Can you describe your experience with machine learning models?

In answering this question, focus on specific projects where you developed or implemented machine learning models, including the techniques you used, the challenges you faced, and the results achieved. Highlight your familiarity with different types of models and relevant programming languages.

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How do you approach data preprocessing?

Share your step-by-step process in data cleaning and preparation, including handling missing values, normalization, and transformation techniques. Explain the importance of preprocessing in ensuring the success of your machine learning models.

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What methods do you use to evaluate model performance?

Discuss the metrics you consider vital for evaluating model performance, such as accuracy, precision, recall, F1 score, and ROC-AUC. Provide examples from your past work where you assessed and compared model performance.

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How do you handle working with cross-functional teams?

Emphasize your communication skills and collaborative experiences, detailing how you've successfully worked with diverse teams, including engineers and product managers, to ensure that project goals are met.

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Describe a time you had to make a decision with insufficient data.

Provide an example where you used your best judgment alongside available data to make an informed decision. Discuss how you gauge risk and communicate uncertainties to stakeholders effectively.

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What tools and languages do you prefer for data analysis?

Talk about your favorite tools, such as Python, R, SQL, or data visualization platforms like Tableau. Discuss how you select tools based on project requirements and your familiarity with them.

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Can you give an example of a successful predictive modeling project you've led?

Share a detailed project description, including the business problem, your approach, the predictive models used, and the impact of your findings on the organization.

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How do you stay updated with the latest trends in data science?

Mention the resources you follow, such as industry blogs, conferences, and online courses. Explain how you apply new knowledge to your work and improve processes or approaches.

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Have you ever faced a project failure, and how did you handle it?

Be candid about a project where you faced challenges or didn't meet objectives. Discuss what led to the failure, the lessons learned, and how you improved your processes moving forward.

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What do you believe is the most critical aspect of data governance?

Discuss the importance of data quality, compliance, and data stewardship in data governance. Share your experiences in ensuring data integrity and ethical handling of data in projects.

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Visa Inc. operates as a payments technology company worldwide. The company facilitates commerce through the transfer of value and information among consumers, merchants, financial institutions, businesses, strategic partners, and government entiti...

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Full-time, hybrid
DATE POSTED
April 4, 2025

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