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Principal Data Scientist at Authorize.net (Visa) image - Rise Careers
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Principal Data Scientist at Authorize.net (Visa) - job 10 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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$200000K

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

Are you ready to take your career to the next level? Join Authorize.net (part of Visa) as a Principal Data Scientist in the vibrant city of Bellevue! In this exciting role, you'll be at the forefront of innovation in the fast-paced fintech industry, where you'll collaborate with a talented team of engineers and data scientists. Here, you'll dive into complex data challenges and work on advanced machine learning developments that serve a global clientele. You'll transform how data products are developed at Visa, using cutting-edge Generative AI to improve workflows, especially around dispute management and merchant representment. Imagine building high-fidelity risk assessment models and engineering systems to run these models at scale. You'll oversee data governance, ensure quality across projects, and lead efforts to automate advanced data protocols. At Authorize.net, your contributions will significantly impact the digital future of payments. Plus, with a hybrid working model, you’ll enjoy the flexibility of working both remotely and in-office! So, if you're ready to shape the future of commerce with your data science expertise, we want to hear from you!

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

As a Principal Data Scientist at Authorize.net, your responsibilities include being a technology thought leader in machine learning and applied science within the fintech space. You will leverage Generative AI to refine crucial workflows like dispute management and merchant representment, build high fidelity models for risk assessment, and oversee the execution of these models in scalable production workflows. Furthermore, you'll ensure data governance and quality across projects while leading automation initiatives that enhance data processing.

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What qualifications do I need to become a Principal Data Scientist at Authorize.net?

To become a Principal Data Scientist at Authorize.net, you typically need extensive experience in data science and machine learning, ideally within the fintech industry. A strong educational background in computer science, statistics, or a related field is essential. Proficient knowledge of Generative AI, data modeling techniques, and experience in building scalable engineering systems are also important to excel in this role.

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

In your role as a Principal Data Scientist at Authorize.net, you will work with state-of-the-art technologies in machine learning and data engineering. You'll be involved in using Generative AI tools, building high fidelity models for risk assessment, and developing engineering systems that run models efficiently at scale. Knowledge of programming languages such as Python or R, and expertise in data processing frameworks will be crucial.

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How does the hybrid work model function for the Principal Data Scientist role at Authorize.net?

The hybrid work model at Authorize.net allows you to blend remote working with time spent in the office. In this Principal Data Scientist role, employees are expected to work in-office 2-3 days a week as guided by leadership. This setup emphasizes collaboration while still providing the flexibility of remote work, aligning your schedule with business needs.

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What impact does a Principal Data Scientist have at Authorize.net?

As a Principal Data Scientist at Authorize.net, your impact is significant. You will lead initiatives that shape the future of payment data products, driving efficiencies and ensuring high data quality throughout the data pipeline. Your work will enhance how the fintech ecosystem operates, influencing day-to-day transactions for millions of users and merchants globally.

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Common Interview Questions for Principal Data Scientist at Authorize.net (Visa)
Can you describe your experience with machine learning models in the fintech sector?

Highlight specific machine learning projects you've worked on in the fintech sector. Discuss the types of models used, the problems solved, and the impact on business outcomes. Focus on technical skills and collaborative efforts with cross-functional teams to demonstrate your competence.

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What is your approach to ensuring data quality and governance in your projects?

Discuss your systematic approach to data quality and governance, such as implementing validation techniques, monitoring data pipelines, and automating processes to ensure data integrity. Share examples from past projects to illustrate your commitment to maintaining high standards.

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

Share your methods for staying current, such as attending industry conferences, participating in workshops, subscribing to relevant journals, or engaging in online communities. Emphasize your ongoing commitment to learning and adapting to new technologies.

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Can you provide an example of a project where you used Generative AI to solve a business problem?

Outline a specific project where you applied Generative AI, explaining the initial challenge, the AI techniques used, and the results achieved. Focus on how your contributions led to improvements in business workflows or efficiencies.

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What experiences do you have with building scalable data engineering systems?

Discuss your experience designing and building data engineering systems that can operate at scale. Highlight the tools and architectures involved, and any challenges faced along the way, showing your problem-solving abilities and technical expertise.

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

Share your strategy for prioritization based on project deadlines, impact, and resource availability. Discuss any tools or frameworks you use to manage your workload effectively while ensuring high-quality outputs.

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What are some common challenges you’ve faced in data modeling, and how did you overcome them?

Identify specific challenges you’ve encountered in data modeling, such as dealing with missing data or scaling issues, and describe the strategies implemented to resolve them. This showcases your critical thinking and adaptability.

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How do you measure the success of your machine learning models?

Discuss the metrics you consider when evaluating model performance, such as accuracy, precision, recall, and F1 score. Provide examples of how you’ve iterated on models based on performance feedback, illustrating your commitment to continuous improvement.

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Can you explain how you collaborate effectively with cross-functional teams?

Share specific examples of successful cross-functional collaborations, focusing on communication strategies, specific roles, and the positive outcomes of working collectively. Highlight your flexibility and teamwork skills.

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What motivates you to work as a data scientist in the fintech industry?

Discuss your passion for data science and how it intersects with the fintech sector. Share personal anecdotes and aspirations that highlight your dedication to using data to drive innovation in financial services.

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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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