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Principal Data Scientist at Authorize.net (Visa) - job 17 of 21

Visa’s Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world’s most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you’ll get to work on complex distributed systems and tackle massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms.

 

The Opportunity:

We are seeking a versatile, curious, and energetic Senior Director to join our team of passionate and dedicated engineers and data scientists. We collaborate on Data Engineering and Machine Learning developments at Visa, tackling complex challenges on a global scale! As a Senior Director at Visa, you will play an integral role in a multi-functional development team, inventing, designing, building, and testing products that serve a truly global customer base. Join us and see how your efforts will shape the digital future of payments.

You will have an opportunity to changing the way data products are developed at Visa!

 

Essential Functions:

  • Be a technology thought leader in the domain of ML and applied science in fintech space.

  • Use Generative AI to improve business workflows around core mission critical logic related to dispute management and merchant representment.

  • Build metrics and evaluations as we migrate business logic to LLMs.

  • Build high fidelity models for risk assessment in fintech space

  • Build engg systems to run the models at scale in production workflows.

  • Ensures alignment to data management principles, governance, process, and tools to maintain quality across all projects.

  • Supervises testing code in a common testing environment to assess compatibility.

  • Leads regular calls with production support teams to address issues with code.

  • Shapes the direction for the development of tools and automation processes that assist in transforming, optimizing, managing, accessing, deploying, and monitoring data processes in batches and in real time.

  • Monitors and supervises efforts to automate advanced data protocols, reduction techniques, and aggregation approaches to validate the quality of extracted data across the data pipeline.

  • Leads efforts to drive efficiencies across data extraction and ensures data quality and completeness using data wrangling, complex data modeling, and artificial intelligence.

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.)
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$150000K
$200000K

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What You Should Know About Principal Data Scientist at Authorize.net (Visa), Visa

If you're a data enthusiast looking to take the next big leap in your career, then we want you as a Principal Data Scientist at Authorize.net (Visa) in Bellevue! Here at Visa’s Technology Organization, we’re redefining commerce through innovation and problem-solving. You’ll work alongside a talented group of engineers and data scientists, diving into the fascinating world of machine learning and data engineering. Your role will be instrumental in tackling massive scale challenges, from enhancing payment flows to bolstering cybersecurity measures. We’re on the lookout for someone who is not only technically skilled but also curious and driven by the desire to shape the digital future of payments. In this pivotal position, you’ll leverage generative AI to optimize critical business workflows, spearhead the development of advanced risk assessment models, and drive the automation of complex data processes. What’s more? You’ll oversee the data management principles to ensure high quality and governance standards across all projects. Join us, and let’s make strides together in transforming how data products are created and managed at Visa. Plus, enjoy the flexibility of our hybrid work model, where you can balance working in the office and remotely. Your journey towards impacting billions starts here!

Frequently Asked Questions (FAQs) for Principal Data Scientist at Authorize.net (Visa) Role at Visa
What responsibilities does a Principal Data Scientist at Authorize.net (Visa) have?

As a Principal Data Scientist at Authorize.net (Visa), you'll be responsible for leading the development of machine learning models pertinent to fintech solutions, enhancing critical business workflows, and ensuring data quality through advanced data extraction techniques. You will also supervise code testing and collaborate with cross-functional teams to innovate data products at a global scale.

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What qualifications should I have to apply for the Principal Data Scientist position at Authorize.net (Visa)?

Prospective candidates for the Principal Data Scientist role at Authorize.net (Visa) should possess advanced degrees in Data Science, Computer Science, or related fields, along with proven experience in machine learning, data engineering, and systems development. Strong analytical skills and familiarity with generative AI are also essential to succeed in this position.

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Is the Principal Data Scientist position at Authorize.net (Visa) a remote job?

The Principal Data Scientist role at Authorize.net (Visa) is a hybrid position, allowing you to work both remotely and in the office. You are expected to be present in the office 2-3 days a week based on business needs, making it a perfect blend for those who enjoy flexible working arrangements.

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What technologies will I work with as a Principal Data Scientist at Authorize.net (Visa)?

In the Principal Data Scientist role at Authorize.net (Visa), you will work with cutting-edge technologies such as machine learning frameworks, generative AI models, and advanced data management systems. You will also utilize a range of programming languages and tools to build high-fidelity models and optimize data workflows.

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What does the team culture look like at Authorize.net (Visa) for a Principal Data Scientist?

At Authorize.net (Visa), the team culture is collaborative and innovation-driven. As a Principal Data Scientist, you’ll be part of a passionate team that emphasizes problem-solving, continuous learning, and the pursuit of excellence in developing data solutions that impact millions of users around the globe.

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Common Interview Questions for Principal Data Scientist at Authorize.net (Visa)
What experience do you have with machine learning models as a Principal Data Scientist?

When answering this question, highlight your hands-on experience with various machine learning algorithms and frameworks. Discuss specific projects where you successfully implemented models to solve real-world problems, noting the impact and results achieved.

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Can you explain how you would apply generative AI in the fintech industry?

Discuss your understanding of generative AI techniques and give examples of how you might leverage them to enhance workflows, such as improving dispute management processes or optimizing transaction validation. Emphasize your innovative thinking and technical proficiency.

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How do you ensure the quality of data in your projects?

Explain your methods for maintaining data quality, such as implementing robust data wrangling processes, validation checks, and automated monitoring. Highlight your experience with data governance principles and how they ensure high-quality outputs in your work.

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

Share a specific challenge you faced while developing a data model, detailing the problem, your approach to resolving it, and the technologies involved. Convey the lessons learned and how it shaped your future data science endeavors.

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What strategies do you use to work effectively in a cross-functional team?

Discuss your communication and collaboration techniques, emphasizing the importance of listening and integrating diverse perspectives. Provide examples of successful outcomes from your teamwork experiences and the role you played in leading those initiatives.

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How do you stay current with the latest trends in data science and machine learning?

Share your strategies for keeping up-to-date with industry trends, including attending conferences, engaging with online courses, and participating in professional networks or forums. Highlight specific examples of how new trends have influenced your work.

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What is your approach to testing and validating machine learning models?

Discuss your methodology for testing models, including validation techniques like cross-validation and metrics used for performance evaluation. Emphasize the importance of transparency and reproducibility in your testing process.

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Can you describe a project where you utilized advanced data protocols and automation?

Describe a relevant project where you implemented advanced data protocols, focusing on the challenges, the tools used for automation, and the efficiencies gained. This showcases your ability to drive innovation and improve processes.

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What metrics do you consider when assessing model performance?

Talk about key performance indicators (KPIs) such as accuracy, precision, recall, and F1 score. Explain why these metrics are relevant in the context of your past projects and how they helped guide model improvements.

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How do you handle disagreements or conflicts within your team?

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Full-time, hybrid
DATE POSTED
April 3, 2025

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