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Principal Data Scientist at Authorize.net (Visa) - job 12 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.)
min
max
$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

Join Authorize.net (Visa) as a Principal Data Scientist in Bellevue, where you'll dive into the dynamic world of fintech and reshape the future of digital commerce! Visa’s Technology Organization is not just about solving complex problems; it’s about being part of an innovative community that tackles significant global challenges. As a Principal Data Scientist, you will collaborate closely with an enthusiastic and talented team of engineers and data scientists in a fast-paced environment. Your insight will be invaluable as you harness the power of machine learning and data engineering to drive efficiencies and enhance payment solutions. Imagine using Generative AI to streamline workflows and improve dispute management, while also crafting sophisticated models for risk assessment that operate at scale. Your expertise will help ensure that data integrity and governance remain at the forefront of our initiatives. Leading efforts to automate data processes and optimizing data extraction will be a key part of your role. This hybrid position offers you the flexibility to balance remote work with time at the office, where teamwork truly flourishes. If you're ready to lead and innovate in a collaborative setting, this is your chance to make a tangible impact on the financial technology landscape at Authorize.net (Visa).

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 (Visa)?

As a Principal Data Scientist at Authorize.net (Visa), your responsibilities encompass a wide range of tasks focused on leveraging machine learning and data engineering to enhance payment systems. You will lead the development of high-fidelity models for risk assessment, utilize Generative AI to optimize workflows in dispute management, and ensure data governance principles are adhered to across projects. Your role also involves supervising testing environments and driving efficiencies in data extraction processes to validate the quality of data at scale.

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What qualifications are needed for the Principal Data Scientist position at Authorize.net (Visa)?

To qualify for the Principal Data Scientist position at Authorize.net (Visa), candidates should possess strong expertise in machine learning and applied data science, preferably within the fintech industry. A background in data engineering and experience handling complex distributed systems are highly valued. Advanced degrees in quantitative fields such as Computer Science, Engineering, or Statistics are often required, along with proficiency in technologies related to data management and model deployment.

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How does the Principal Data Scientist role at Authorize.net (Visa) influence the future of payments?

The Principal Data Scientist role at Authorize.net (Visa) significantly influences the future of payments by pioneering innovative data-driven solutions that transform payment processing. By leveraging machine learning and AI-driven methodologies, you will directly contribute to enhancing the efficiency and security of transactions. Your efforts in automating data processes and developing intelligent models will ensure that Visa remains at the forefront of technological advancements in the payment industry.

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

The work environment for a Principal Data Scientist at Authorize.net (Visa) is collaborative and dynamic, where you will work alongside passionate engineers and data scientists. This hybrid position allows for a balance between remote work and in-office collaboration, fostering a culture of teamwork and innovation. You will engage in regular communication to address challenges and improve product development, all while being part of a supportive community dedicated to reshaping the future of commerce.

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

A Principal Data Scientist at Authorize.net (Visa) may work with a variety of cutting-edge technologies and tools, including Generative AI frameworks, machine learning libraries, data governance tools, and advanced data analytics platforms. Familiarity with distributed systems, risk assessment models, and automation technologies to enhance data extraction processes will also be essential to succeed in this role.

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Common Interview Questions for Principal Data Scientist at Authorize.net (Visa)
Can you describe a machine learning project you led and what challenges you faced?

When discussing a machine learning project, focus on your role in the project's lifecycle, the methodologies used, and the specific challenges encountered, such as data quality, model accuracy, or deployment issues. Showcase how your solutions led to successful outcomes, emphasizing collaboration and problem-solving abilities.

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How do you ensure data quality in your projects?

To ensure data quality, elaborate on your strategies such as implementing data cleansing processes, using statistical methods for validation, and conducting regular audits. Discuss how you leverage automation and data protocols to maintain high fidelity in your data sets throughout different project stages.

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How would you approach building a risk assessment model for payment systems?

In building a risk assessment model, outline your approach by describing the data sources you'll integrate, the features that matter, and the machine learning techniques you'll employ. Emphasize the iterative process of model training and validation, and how real-time feedback can enhance its performance.

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What is your experience with Generative AI, and how might it apply to dispute management?

Share your knowledge of Generative AI, describing how it can improve workflows by automating responses and enhancing decision-making processes. Explain its potential application within dispute management specifically, highlighting past experiences or research that illustrate your expertise.

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Can you explain a time you had to lead a team through a complex data project?

Provide specific examples where you guided a team through challenges, detailing how you managed resources, facilitated communication, and navigated setbacks. Highlight your leadership style and the impact of your guidance on achieving project success.

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What tools do you typically use for data modeling and analytics?

Discuss your familiarity with tools and platforms such as Python, R, TensorFlow, or specific data management systems. Emphasize your experience with visualization tools and how these have contributed to effective data storytelling and decision-making in your projects.

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How do you prioritize tasks when faced with multiple project deadlines?

Illustrate your organizational skills by explaining methods you use for prioritization, such as assessing project impacts, stakeholder feedback, and resource availability. Discuss how you maintain flexibility to adapt to changing priorities while ensuring project quality.

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What methodologies do you practice in your data science workflow?

Explain the methodologies you embrace, such as Agile, CRISP-DM, or similar frameworks, detailing how they facilitate your project execution. Highlight the importance of collaboration and iterative development within these methodologies.

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

Share your methods for staying current in data science, such as attending industry conferences, following thought leaders on social media, and engaging with research publications. Discuss how this continuous learning translates into your work at Authorize.net (Visa).

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Why are you interested in the Principal Data Scientist position at Authorize.net (Visa)?

Express your motivation by connecting your passion for fintech, your expertise in data science, and the impactful work happening at Authorize.net (Visa). Discuss specific aspects of the company culture or mission that resonate with you and how you envision contributing to their goals.

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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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