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Senior Staff Data Scientist - Director level - job 8 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

As a Senior Staff Data Scientist at Visa in Austin, you'll take the lead in enhancing our data capabilities and drive impactful AI and machine learning solutions. This isn't just another position; it's a unique opportunity to contribute meaningfully to our vision of being a data-driven leader in the industry. Imagine being at the heart of a dynamic, fast-paced environment where your insights can directly influence decisions and fuel innovation. In this role, you'll team up with stakeholders to tackle complex business challenges by formulating technical data problems that reflect key business drivers. Your responsibilities will include collaborating with product and engineering teams to deliver effective solutions, from prototypes to production-ready code. You’ll have the creative freedom to experiment with both in-house and third-party datasets, develop custom algorithms, and automate our predictive pipelines. If you're a self-starter who thrives in ambiguity, possesses an excellent attention to detail, and boasts a strong academic background alongside top-notch software engineering skills, this could be the perfect fit for you. You’ll be diving deep into vast datasets, using statistical analysis and machine learning techniques to extract actionable insights that influence our business. Plus, with a hybrid work model, you can enjoy the flexibility of working remotely while still being connected with your team in the office. Join us at Visa and take the next step in your career while making a lasting impact on our operations and strategy.

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

The Senior Staff Data Scientist at Visa is responsible for building data capabilities, analyzing data, and delivering AI and machine learning solutions. Key responsibilities include formulating business problems into technical data challenges, collaborating with product and engineering teams to create effective solutions, and experimenting with various datasets to derive valuable insights.

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What qualifications are needed for the Senior Staff Data Scientist role at Visa?

To excel as a Senior Staff Data Scientist at Visa, candidates should have a strong academic track record, in-depth expertise in data strategy, analytics, and governance, alongside exemplary software engineering skills. A hands-on mindset, attention to detail, and the ability to work independently and collaboratively are essential for success.

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How does the Senior Staff Data Scientist contribute to Visa’s strategic vision?

The Senior Staff Data Scientist plays a pivotal role in reinforcing Visa’s commitment to being a data-driven company. By building data capabilities and delivering impactful AI solutions, they help shape the organization’s analytics infrastructure and empower teams to leverage data for strategic decision-making.

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What is the work environment like for a Senior Staff Data Scientist at Visa?

The work environment for a Senior Staff Data Scientist at Visa in Austin is hybrid, allowing employees to alternate between remote work and office time. It’s a dynamic and fast-paced atmosphere that encourages innovation and collaboration while ensuring work-life balance.

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What tools and techniques are utilized by the Senior Staff Data Scientist at Visa?

In the role of Senior Staff Data Scientist at Visa, tools and techniques such as statistical analysis, data visualization, machine learning algorithms, and data mining are extensively utilized. This allows the organization to derive actionable insights from large datasets and improve decision-making processes.

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

When discussing your experience with machine learning algorithms, be specific about the projects you’ve worked on. Talk about the algorithms you implemented, the problems they solved, and how you evaluated their performance. This shows your practical knowledge and understanding of their applications.

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How do you approach data analysis for business problems?

When answering this question, describe your systematic approach, such as defining the problem, identifying key business drivers, collecting the relevant data, and transforming it into actionable insights. Emphasizing collaboration with stakeholders to ensure alignment on priorities can also highlight your team-oriented mindset.

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What techniques do you use to visualize data insights?

To effectively communicate your data insights, you can talk about the various visualization tools you’ve used, such as Tableau, Power BI, or Python libraries like Matplotlib and Seaborn. Share examples of how your visualizations helped stakeholders understand complex data in a digestible format.

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Describe a challenging data problem you encountered and how you solved it.

When recounting a challenging data problem, structure your answer using the STAR technique (Situation, Task, Action, Result). Highlight the complexity of the problem, the specific actions you took to analyze and resolve it, and the positive outcome of your efforts.

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How do you ensure model performance and efficiency in production?

In your response, discuss the methods and metrics you employ to monitor model performance, such as precision, recall, and F1 score. You can also touch upon automation processes that help streamline the monitoring and retraining of models to maintain their efficiency.

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What steps do you take for data preprocessing and cleaning?

Explain your systematic approach to data preprocessing, including handling missing values, standardizing formats, and removing outliers. Detailing your process shows employers that you recognize the importance of clean data in the overall analysis.

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How do you handle ambiguous requirements in a project?

When addressing ambiguity, highlight your communication strategies, such as clarifying objectives with stakeholders and iterating on solutions. Emphasize your adaptability and problem-solving skills to demonstrate your readiness for complex projects.

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What experience do you have with big data technologies?

Discuss your experience with big data technologies, such as Hadoop, Spark, or cloud-based platforms like AWS and Azure. Explaining how you leveraged these technologies to manage and analyze large datasets will showcase your technical expertise.

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How do you stay current with industry trends and technologies?

Mention your strategies for staying current, such as following industry blogs, attending conferences, or participating in online courses. This shows a commitment to continuous learning, crucial for a Senior Staff Data Scientist at Visa.

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Can you walk us through a successful project you led from inception to implementation?

Use the STAR method to describe a successful project, emphasizing your leadership and organizational skills. Discuss the project's goals, the collaborative effort involved, the challenges faced, and the measurable outcomes achieved.

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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 3, 2025

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