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Senior Staff Data Scientist - Director level - job 3 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

At Visa, we're on the lookout for a passionate Senior Staff Data Scientist at the director level to join our dynamic team in Austin. In this exciting role, you'll be at the forefront of building our data capabilities, collecting and analyzing vital data, and driving insights through innovative machine learning and AI solutions. Your work will empower our teams to make smarter decisions, achieve operational excellence, and foster innovation. Picture yourself in a fast-paced startup-like environment where your contributions will have a real impact on our strategic vision as a data-driven organization. We're seeking someone with a robust academic background and exceptional software engineering skills, a self-starter who thrives in ambiguity and has an eye for detail. As a Senior Staff Data Scientist, you will formulate business problems as technical data problems, collaborate with product stakeholders, and deliver impactful solutions. You'll also experiment with various data sets to test hypotheses, build data transformations, and create effective modeling algorithms. Not to mention, you'll be delivering insightful reports and dashboards for our leadership team. This hybrid position allows you flexibility with a mix of remote and office work, making it easier to balance your professional aspirations with personal commitments. If you’re ready to take your career to the next level and make a significant impact, we’d love to hear from you!

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

As a Senior Staff Data Scientist at Visa, your primary responsibilities include formulating business problems into technical data challenges, collaborating with product stakeholders, and delivering effective machine learning and AI solutions. You'll also be responsible for experimenting with data to validate hypotheses, creating data transformations, building modeling algorithms, and generating insightful reports and dashboards that inform leadership decisions.

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

To excel as a Senior Staff Data Scientist at Visa, candidates typically need a strong academic background in a relevant field, significant experience in data strategy and analytics, and excellent software engineering skills. Additionally, candidates should demonstrate a hands-on mentality, attention to detail, and experience working in cross-functional teams to deliver impactful solutions.

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How does Visa's Senior Staff Data Scientist contribute to data-driven decision-making?

The Senior Staff Data Scientist at Visa plays a pivotal role in enhancing data-driven decision-making by leveraging data analytics, machine learning, and AI. You will analyze large datasets, draw meaningful insights, and present comprehensive reports and dashboards to organizational leadership, thus driving smarter business strategies and operational excellence.

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Can you explain the work environment for a Senior Staff Data Scientist at Visa?

The work environment for a Senior Staff Data Scientist at Visa is a hybrid one, allowing employees to split their time between remote work and the office. Generally, you can expect to work from the office 2-3 days a week, based on business needs, creating a balance that supports both collaboration and flexibility.

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What skills are essential for success in the Senior Staff Data Scientist role at Visa?

Essential skills for succeeding as a Senior Staff Data Scientist at Visa include advanced programming in languages like Python or R, strong statistical analysis capabilities, proficiency in data visualization tools, and expertise in machine learning techniques. Collaboration and communication skills are also crucial for effectively working with cross-functional teams and product stakeholders.

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Common Interview Questions for Senior Staff Data Scientist - Director level
What experience do you have in applying machine learning to real-world problems?

In responding to this question, highlight specific projects or roles where you implemented machine learning techniques. Discuss the challenges faced, how you approached them, and the results achieved to emphasize your hands-on experience and problem-solving skills.

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Can you describe your process for data analysis and model building?

When answering this question, outline your systematic approach to data analysis, from data collection and pre-processing to exploring different modeling techniques. Be sure to mention any tools you’ve used and how you validate the performance of your models.

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How do you ensure data quality and integrity in your projects?

Discuss specific techniques you use to ensure data quality, such as validation checks, cleaning processes, and using automated tools. Mentioning a previous project where you successfully maintained data integrity will add credibility to your answer.

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Tell us about a time you had to collaborate with cross-functional teams?

To answer this question effectively, share a relevant experience where you worked with teams across different functions. Highlight your role in facilitating communication, fostering teamwork, and how the collaboration resulted in successful project outcomes.

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What statistical techniques are you most comfortable with?

In your response, highlight the statistical methods you have a firm grasp of, such as regression analysis, hypothesis testing, or Bayesian methods. Provide examples of projects where you applied these methods and the value they brought to the analysis.

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How do you approach feature engineering in your models?

Discuss your strategies for feature engineering, emphasizing your understanding of the domain and how you generate features that will enhance the model's predictive power. Providing examples of successful feature engineering can demonstrate your proficiency.

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What tools and technologies do you think are essential for a Senior Staff Data Scientist?

Discuss the programming languages, data visualization tools, machine learning frameworks, and databases you are familiar with. Stress the importance of being adaptable and keeping up-to-date with the latest tools and technologies in the data science field.

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How do you stay current with industry trends and advancements in data science?

Mention specific resources you utilize such as journals, blogs, workshops, or online courses. Emphasizing your commitment to lifelong learning in the ever-evolving field of data science will highlight your dedication as a candidate.

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Can you provide an example of a successful model you created and its impact?

When answering, detail a specific model you developed, the problem it addressed, and the outcomes that resulted. Quantifying results with metrics or KPIs will help illustrate the model's success and your capability in impactful data science.

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What is your approach to solving ambiguous problems in data science?

Outline a structured problem-solving method that involves breaking down ambiguity into manageable components. Provide an example from your experience where you navigated uncertainty, demonstrating your critical thinking and adaptability.

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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...

11682 jobs
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Full-time, hybrid
DATE POSTED
April 4, 2025

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