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Senior Staff Data Scientist - Director level - job 11 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

$150000 / YEARLY (est.)
min
max
$120000K
$180000K

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 be stepping into a pivotal role that focuses on harnessing data to shape the future of our services. This isn’t just any job; it's a chance to be at the heart of our data strategy, transforming data into actionable insights and innovative AI solutions that enhance how we operate. You'll collaborate closely with product stakeholders and engineering teams, guiding them through complex business challenges by formulating technical data problems. If you thrive in a dynamic, startup-like environment where every decision counts, this role could be your perfect fit! You’ll empower various teams to make smarter decisions, improve operational efficiency, and drive innovation throughout the organization. Your day-to-day will involve crafting custom algorithms, experimenting with data sets, and building comprehensive dashboards that will aid our leadership in making impactful business decisions. Our ideal candidate is someone with a robust academic background and a knack for software engineering, equipped with the attention to detail and collaborative spirit necessary for the role. If you consider yourself a self-starter who can navigate ambiguity and work well both independently and in a team setting, Visa is ready for you to join our journey as we continue to push the boundaries of data-driven excellence.

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

The Senior Staff Data Scientist at Visa is responsible for collecting, analyzing, and delivering machine learning and AI solutions. Key duties include formulating business problems as technical data issues, experimenting with data sets, and building complex algorithms to derive meaningful insights. Moreover, this role includes collaboration with product and engineering teams to ensure effective solutions, developing predictive analytics infrastructure, and generating impactful reports for leadership.

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

To qualify for the Senior Staff Data Scientist position at Visa, candidates should have a strong academic background in data science or related fields coupled with extensive experience in data strategy and analytics. Proficiency in software engineering, statistical analysis, and machine learning techniques is essential. Strong collaboration skills, attention to detail, and the ability to work independently in a fast-paced environment are also needed.

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How does the hybrid work model function for the Senior Staff Data Scientist at Visa?

The Senior Staff Data Scientist at Visa will follow a hybrid work model, where employees will be expected to work from the office for 2-3 predetermined days each week, while also enjoying the flexibility of working remotely. The goal is to maintain a balance where 50% or more of the time is spent in the office based on business needs, ensuring productive collaboration with colleagues.

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What tools and technologies would a Senior Staff Data Scientist use at Visa?

In the Senior Staff Data Scientist role, candidates will utilize a variety of tools and technologies including data mining software, machine learning frameworks, analytics platforms, and statistical tools. Familiarity with data visualization tools to generate comprehensive dashboards and reports is also essential. This equips the team to derive actionable insights and monitor model performance effectively.

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What impact can a Senior Staff Data Scientist make at Visa?

A Senior Staff Data Scientist at Visa has the opportunity to drive significant impact by shaping the organization’s data strategy, enhancing service offerings, and fostering a culture of data-driven decision making. Through innovative solutions and insights derived from data, this role is crucial in positioning Visa as a leader in the data-driven landscape of the payment industry.

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

When answering this question, provide specific examples of machine learning algorithms you’ve developed or utilized in past roles. Highlight the projects where you've implemented these algorithms to solve business problems and the impact they had. Be sure to include any challenges faced and how you overcame them through data-driven strategies.

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How do you approach data cleaning and preprocessing?

Effective communication about your approach to data cleaning and preprocessing is key. Describe the techniques that you use to identify and rectify data inconsistencies, missing values, and outliers. Mention tools or programming languages you are proficient in that aid in this process, showcasing how these practices benefit the overall analysis.

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What is your strategy for collaborating with cross-functional teams?

Discuss your collaborative approach, emphasizing the importance of active listening and clear communication. Give examples of successful collaborations with teams from engineering, product management, or other departments. Highlight how you ensure that all stakeholders are aligned with the data-driven goals and how collaboration enhances project outcomes.

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How do you evaluate the performance of your models?

In your response, talk about specific metrics or evaluation techniques you use to assess model performance, such as AUC, F1 Score, or confusion matrices. Discuss the importance of monitoring these metrics over time to ensure continued accuracy and relevance of the models you develop.

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Can you give an example of a complex problem you solved with data analysis?

When answering, select a significant project where data analysis played a critical role in problem-solving. Detail the problem, the data-centric approach you took, and the eventual results. underscore the business impact and any lessons learned that could be beneficial for Visa.

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What is your experience with big data technologies?

Share your hands-on experience with big data technologies like Hadoop, Spark, or cloud-based services. Emphasize any large-scale projects where you’ve harnessed these technologies, and how they contributed to your data analysis workflow and outcomes.

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

Mention your commitment to continuous learning, such as attending workshops, webinars, or online courses. Include any blogs, research papers, or communities you follow to keep abreast of emerging trends that can influence your work as a Senior Staff Data Scientist.

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Describe a time when you had to convince stakeholders to adopt a data-driven approach.

Share a specific example where you had to advocate for a data-driven strategy, detailing the challenges faced and the strategies you employed to persuade stakeholders. Highlight the positive results of adopting your recommendations and how you effectively communicated the need for this approach.

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What role does data visualization play in your analysis process?

Talk about the importance of data visualization in conveying insights effectively. Provide examples of tools you’ve used for visualization and how they've helped in presenting complex information to non-technical stakeholders, thereby advocating for data initiatives at Visa.

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What kind of impact do you aspire to make in the Senior Staff Data Scientist role at Visa?

Reflect on your ambition and goals regarding the impact you want to have at Visa. Discuss how your expertise can influence the company’s strategic objectives and enhance its data-driven initiatives, ultimately contributing to its growth as an industry leader.

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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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