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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 11 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

As a Principal Data Scientist at Authorize.net, a Visa company located in beautiful Bellevue, you'll immerse yourself in a dynamic environment where innovation meets technology. Here at Visa’s Technology Organization, we are a community dedicated to reshaping the future of commerce. Our advanced processing networks handle over 65,000 secure transactions every second, making us a leader in the fintech space. If you're a motivated, curious individual who thrives in solving complex problems and loves data, this role is for you! You'll join a passionate team of engineers and data scientists tackling global challenges. Your responsibilities will include using Generative AI to enhance workflows, building metrics, and crafting models for risk assessment. You will also develop engineering systems for running those models at scale. Your expertise will ensure alignment with data management principles, driving automation processes, and maintaining the highest data quality across projects. With opportunities to shape the future of payments and lead vital discussions with production support teams, this role is perfect for those looking to make an impact in a truly global environment. Join us at Authorize.net and let's redefine the digital future together! This position is hybrid, allowing you to blend remote work with time spent in the office, facilitating the perfect work-life balance.

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 have?

The Principal Data Scientist at Authorize.net plays a critical role in leveraging machine learning and applied science in the fintech space. You will be responsible for using Generative AI to enhance workflows related to dispute management, building metrics and evaluations for migrating business logic, developing high-fidelity models for risk assessment, and automating advanced data protocols to ensure data quality and completeness within production workflows.

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What skills are required for a Principal Data Scientist position at Authorize.net?

To excel as a Principal Data Scientist at Authorize.net, you'll need a strong background in machine learning, data engineering, and fintech. Proficiency in programming languages such as Python or R, experience with developing and deploying machine learning models, and knowledge of data management principles and governance are essential. Familiarity with Generative AI technologies will also be beneficial.

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

The work environment for a Principal Data Scientist at Authorize.net is hybrid, combining remote work with regular in-office collaboration. Employees generally work from the office 2-3 days per week based on business needs. This flexible arrangement allows you to enjoy the benefits of collaborative teamwork while still accommodating your work-life balance.

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How does a Principal Data Scientist at Authorize.net contribute to product development?

As a Principal Data Scientist at Authorize.net, you will contribute significantly to product development by collaborating within a multi-functional development team. Your role will include designing, building, and testing innovative tools that target the global fintech market, shaping the functionality and efficiency of our data products, and driving forward-thinking automation processes.

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What opportunities for growth exist for Principal Data Scientists at Authorize.net?

At Authorize.net, Principal Data Scientists have ample opportunities for growth. By leading complex projects and collaborating with a diverse team of professionals, you'll expand your skills in advanced data modeling and application of machine learning in fintech. Furthermore, Visa encourages internal mobility, allowing you to explore various roles within the organization as you grow in your career.

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Common Interview Questions for Principal Data Scientist at Authorize.net (Visa)
Can you describe your experience with machine learning and how it applies to the role of Principal Data Scientist?

When answering, detail specific machine learning projects you've worked on, focusing on models you've developed and the impact they had on the organization. Emphasize your understanding of various algorithms and how you've applied them to solve complex data-driven problems.

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How do you handle data quality and ensure completeness in your models?

Discuss your approach to data cleaning, validation, and integrity checks. Provide examples of techniques you’ve employed to monitor data quality and ensure that your models are built on accurate, high-quality datasets.

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What role does Generative AI play in your data science work?

Prepare to discuss specific use cases where Generative AI contributed to enhancing workflows or systems. Describe how you utilized Generative AI in previous projects and the benefits it brought to optimizing operations or processes.

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How do you approach collaboration in a multi-functional team?

Highlight your communication and teamwork skills. Explain how you facilitate discussions, align different stakeholders on project goals, and ensure smooth collaboration between data engineers, product managers, and other team members.

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Describe a challenging data science project you led and the outcome.

Focus on a specific project where you faced significant challenges—discuss how you overcame them, the tools and techniques you used, and the ultimate impact your project had on the business results.

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What methods do you use to evaluate the success of your data models?

Explain your evaluation criteria, such as precision, recall, or F1 score, and discuss the importance of model validation and back-testing using real-world data to ensure predictive accuracy.

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Can you give an example of how you automated a data process improvement?

Prepare to provide a detailed example of a process you automated and the technologies involved. Highlight the efficiency gains and how it impacted team productivity or data accuracy.

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How do you stay updated with developments in data science and machine learning?

Share the resources you utilize to stay informed, such as conferences, online courses, or research publications. Discuss how continuous learning enables you to integrate new techniques into your work effectively.

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How do you ensure your models align with business objectives?

Talk about your experience gathering requirements from stakeholders, translating business needs into data science goals, and ensuring that model outputs support strategic decision-making at the organizational level.

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What are your long-term career aspirations as a Principal Data Scientist?

Outline your aspirations clearly—whether you aim to lead larger teams, drive innovative projects, or target higher levels of leadership within the organization. Communicate your vision for growth and development in the fintech industry.

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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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