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Principal Data Scientist at Authorize.net (Visa) - job 18 of 20

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.)
min
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$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 Principal Data Scientist at Authorize.net (Visa), Visa

Are you ready to take your career to the next level as a Principal Data Scientist at Authorize.net, part of Visa? Located in the vibrant city of Bellevue, this is an exciting opportunity to join Visa's Technology Organization, a community buzzing with problem solvers and innovative thinkers who are reshaping the future of commerce. In this role, you'll collaborate with a dedicated team of engineers and data scientists, delving into cutting-edge Data Engineering and Machine Learning developments. Your mission? To tackle complex challenges on a global scale, leveraging Generative AI and building high fidelity models for risk assessment that enhance the core mission related to dispute management and merchant representment. As you lead initiatives to refine data processes, you’ll ensure alignment with data management principles and maintain quality across projects. This role is not just about developing tools and automation; it’s about influencing the future direction of data product development at Visa. You’ll supervise testing procedures, address production issues, and spearhead efforts to elevate data quality through advanced protocols and complex data modeling. With a hybrid working environment, you’ll enjoy the flexibility of remote work while also engaging with your team in the office 2-3 days a week. Join us at Authorize.net and be a part of a team that is driven to change the way data products are developed in the fintech space. Your contributions will be instrumental in shaping the digital future of payments, making a real impact on millions worldwide!

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

As a Principal Data Scientist at Authorize.net, you will lead technology initiatives in Machine Learning and applied science within the fintech sector. Your key responsibilities will encompass building and testing high fidelity models for risk assessment, developing metrics for business logic migration, and ensuring data quality through innovative data protocols. You’ll also play a pivotal role in guiding a team of engineers and data scientists to refine complex data processes.

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What qualifications are needed for the Principal Data Scientist role at Authorize.net?

To be successful as a Principal Data Scientist at Authorize.net, candidates should possess extensive experience in data science and Machine Learning, particularly within fintech applications. A strong background in data management principles, proficiency in complex data modeling, and expertise in using Generative AI are essential. Additionally, leadership skills and the ability to work collaboratively in a multi-functional environment are key.

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

In the role of Principal Data Scientist at Authorize.net, you'll work with advanced Machine Learning technologies, Generative AI, and various data engineering tools to design and implement scalable workflows. Proficiency in programming languages such as Python or R, alongside tools for data manipulation and analysis, will be important as you build and validate models for risk assessments.

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What makes the Principal Data Scientist position at Authorize.net unique?

The Principal Data Scientist position at Authorize.net is unique because it not only involves tackling complex global challenges but also enables you to influence the digital future of payments on a large scale. The role provides the opportunity to work with a diverse team of experts while being at the forefront of innovation in fintech, using technology to shape business workflows and enhance data products.

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What is the work environment like for a Principal Data Scientist at Authorize.net?

As a Principal Data Scientist at Authorize.net, you will thrive in a hybrid work environment, allowing you to balance remote work with in-office collaboration. The flexibility of working 2-3 days in the office encourages teamwork and innovation while still providing the comfort of a remote setting. This setup is designed to enhance productivity and foster a dynamic work culture.

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

Highlight specific projects where you successfully applied Machine Learning methodologies to solve financial problems, emphasizing results achieved and your role in the process.

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How do you ensure data quality in your models?

Discuss your approach to data validation, wrangling techniques, and any tools or frameworks you use to maintain data integrity throughout the modeling process.

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What challenges have you faced when implementing data solutions, and how did you overcome them?

Share a specific example that illustrates a challenge in scaling data systems and the strategies you employed to address those issues.

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How do you stay updated with the latest developments in Data Science and Machine Learning?

Talk about your methods for continuous learning, including courses, conferences, and networking within the industry to stay at the forefront of the field.

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Can you explain a complex data model you have developed?

Provide an in-depth breakdown of the model, including its purpose, the data used, algorithms implemented, and the outcomes achieved. Use clear language that conveys your understanding.

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What role do you believe collaboration plays in data science projects?

Discuss how collaboration enhances data science projects, sharing examples where teamwork led to innovative solutions or improved project outcomes.

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Describe your experience with Generative AI.

Outline any projects you've worked on that utilized Generative AI, the contexts they were used in, and the impact they had on decision-making or product development.

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How do you approach risk assessment in your models?

Discuss your strategies for identifying potential risks within data models, including the metrics you monitor and how you adjust models based on risk evaluations.

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What tools do you regularly use for data analysis?

Mention specific tools or programming languages you are proficient in and explain how they contribute to your data analysis workflow.

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What do you find most rewarding about being a Principal Data Scientist?

Share personal insights into the aspects of the role that excite you, particularly how your contributions influence the larger financial ecosystem.

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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
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April 2, 2025

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