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Senior Staff Data Scientist - Director level - job 14 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 will embark on an exciting journey that shapes the way we leverage data to drive innovation and efficiency. This isn't just any role; it's a chance to be at the forefront of building our data capabilities. You'll collect and analyze vast amounts of data, delivering cutting-edge machine learning and AI solutions that will enhance our diverse range of offerings. We’re looking for someone who loves diving deep into data while also being able to communicate effectively with product and engineering teams to devise impactful solutions. Essentially, you will empower cross-functional teams to use data for smarter decisions and to achieve operational excellence. With responsibilities ranging from formulating business problems into technical data challenges, building data transformations, and experimenting with algorithms, your contributions will be integral to Visa's strategic vision as a leader in data-driven solutions. A successful candidate will have a strong academic background coupled with excellent software engineering skills, a keen attention to detail, and the ability to thrive in a fast-paced, ambiguous environment. You'll also have the opportunity to generate insightful reports, develop data modeling processes, and craft comprehensive dashboards for organizational leaders, all while enjoying the flexibility of a hybrid work model that allows you to balance remote and in-office days efficiently.

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?

As a Senior Staff Data Scientist at Visa, your key responsibilities will include formulating business problems into technical data challenges, collaborating with product and engineering teams to develop solutions, and programming both prototypes and production code. Additionally, you will build data transformations on both structured and unstructured data and create custom algorithms to glean insights from vast datasets.

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

To become a Senior Staff Data Scientist at Visa, you should have a strong academic background in a related field, along with a demonstrated proficiency in data strategy and analytics. Experience in software engineering, statistical analysis, and machine learning techniques is also crucial, as well as the ability to work independently and collaboratively in cross-functional teams.

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

The work environment for a Senior Staff Data Scientist at Visa is hybrid, allowing you to alternate between remote work and working from the office in Austin. You'll be expected to be in the office 2-3 days a week, fostering collaboration while also enjoying the flexibility of working remotely depending on business needs.

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Can you explain the impact of the Senior Staff Data Scientist role on Visa's data-driven initiatives?

The Senior Staff Data Scientist plays a pivotal role in advancing Visa's data-driven initiatives by empowering teams to leverage data for operational excellence and innovation. By building the 'data muscle' throughout the organization, you will contribute to deriving actionable insights from data, ultimately aligning with Visa's strategic vision as a leader in the industry.

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What skills should a candidate possess to excel as a Senior Staff Data Scientist at Visa?

To excel as a Senior Staff Data Scientist at Visa, candidates should possess strong analytical skills, proficiency in machine learning and statistical analysis, and the ability to collaborate effectively with cross-functional teams. A hands-on approach and a knack for problem-solving in ambiguous situations are equally important for delivering impactful results.

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Common Interview Questions for Senior Staff Data Scientist - Director level
Can you describe your experience with data transformations in the context of your previous roles?

When answering this question, focus on specific examples of how you've handled data transformations in past projects. Discuss the types of data you worked with, the challenges you faced, and the techniques or tools you utilized to create clean, usable data for analysis.

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How do you prioritize projects when working on multiple data science initiatives?

Describe your approach to prioritizing projects by considering the business impact, urgency, and resource availability. Sharing a real-life example of how you managed competing deadlines while ensuring all projects met quality standards will demonstrate your strategic thinking.

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What methodologies do you use to monitor model efficiency in production?

Discuss techniques such as performance metrics, real-time monitoring systems, and regular evaluations of model accuracy. Emphasize your commitment to maintaining high standards and how you've implemented these methodologies in past roles.

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Can you explain a time when you successfully collaborated with product and engineering teams?

Highlight a specific project where collaboration was key to its success. Talk about the communication techniques you used and how working together with these teams helped in developing effective data-driven solutions.

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What is your experience with both structured and unstructured data?

Discuss your hands-on experience with various data types, highlighting specific tools and techniques you’ve employed to analyze each. Offer insights into how you’ve derived actionable insights from these datasets in order to create comprehensive reports.

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How do you ensure your algorithms are both accurate and efficient?

Talk about your approach to algorithm development, including initial testing phases, tuning hyperparameters, and validating against existing benchmarks. Share examples of how you’ve iterated on your algorithms to enhance performance.

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What strategies do you use to stay updated with the latest trends in data science?

Mention various resources you rely on such as online courses, research papers, industry webinars, and networking with professionals. Show your enthusiasm for continuous learning by citing recent trends or innovations that excite you in the field.

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Describe a challenging data problem you solved and the tools you used.

Provide specific details about the problem, including context and data complexities. Describe the tools and methodologies you used to analyze and resolve the issue, along with the results and impact of your solution.

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How do you handle data privacy and governance in your projects?

Discuss your understanding and adherence to data privacy laws and best practices. Share examples where you implemented governance protocols to ensure compliance while still delivering valuable insights from the data.

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What do you believe makes a successful Senior Staff Data Scientist at Visa?

Highlight key attributes you believe are essential for success in this role, such as technical expertise, strong communication skills, and the ability to thrive in a collaborative environment. Incorporate how you embody these traits and how they contributed to past successes.

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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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