Let’s get started
By clicking ‘Next’, I agree to the Terms of Service
and Privacy Policy
Jobs / Job page
Sr. Data Scientist II - AI and Data Science Center of Excellence image - Rise Careers
Job details

Sr. Data Scientist II - AI and Data Science Center of Excellence

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

With data being the fuel that drives our future - our strategies, policies, and business successes around data will define our future growth prospects. Unlocking the value available through the innovative use of data on behalf of consumers, businesses, and communities is key to our future. With our ongoing commitment to Visa’s Data Values and the responsible use of data, we at Visa have a bold vision to continue to grow and accelerate our data-related businesses and capabilities. 

Led by Visa’s Chief Data Officer, the Global Data Office coordinates high-impact, complex, company-wide projects related to data business strategy, critical investments, policy development, and marketplace execution. Working closely with Visa’s Chief Privacy Officer, the Technology organization, the wider data community, and the full set of Visa’s global lines of business, the Global Data Office is evolving Visa’s data-related work with momentum and enthusiasm. Driven by its commitment to trusted use of data, Visa is seeking enthusiastic leaders who are change-agents and passionate about the future of data around the world. 

The Global AI/ML Product & Platforms team under the Global Data Office is creating the next generation of scalable and responsible AI/ML and Data products and solutions to solve client and consumer problems. We are a cross-functional team of data scientists, product managers, AI and data engineers, program managers focused on generating value for the payments ecosystem. We are dreaming of the next generation of AI features and products.

This position is in the AI and Data Science vertical under the Global AI/ML Product & Platforms team. In this role, you will be part of a Center of Excellence (CoE) team who will solve complex problems for our clients and Visa using appropriate data, AI/ML models and data science techniques. You will also be creating frameworks and assets which can be leveraged by global and regional data science teams across Visa to address business problems.

Responsibilities include: 

Solve complex problems for our clients and Visa using appropriate data, AI/ML models and data science techniques as part of a Center of Excellence (CoE) team. Create frameworks and assets which can be leveraged by global and regional data science teams across Visa to address business problems.

Technical Leadership:

- Develop and Execute data science capabilities useful for Visa and its clients

- Design and develop large-scale data science systems

- Foster innovation and experimentation within the team

Data Science:

- Apply advanced data science techniques and models to drive business impact

- Stay up-to-date with industry trends and emerging technologies

- Develop and maintain expertise in multiple programming languages and data science tools

Collaboration:

- Work closely with cross-functional teams to integrate data science capabilities

- Communicate complex technical concepts and results to stakeholders

- Influence business decisions with data-driven insights

Technical Expertise:

- Develop and maintain expertise in multiple programming languages (e.g., Python, R, Spark)

- Stay current with industry trends and advancements in data science tools and technologies (e.g.,   TensorFlow, PyTorch, scikit-learn)

Strategy:

- Execute data science strategy aligned with business goals

- Identify opportunities for data science to drive business impact

Communication:

- Communicate complex technical concepts and results to stakeholders

- Present data science capabilities and results to senior leadership and business partners

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.

Qualifications

Basic Qualifications
• 8 years of relevant work experience with a bachelor’s degree or at least 5 years of relevant work experience with an Advanced degree (e.g. Master’s, MBA, JD, MD) or 2 years of work experience with a PhD degree

Preferred Qualifications
• 9+ years of relevant work experience with a bachelor’s degree or 7+ years of relevant work experience with an Advanced Degree (e.g. Master’s, MBA, JD, MD) or 3+ years of experience with a PhD
• 6+ years of hands-on experience developing advanced data science models and providing data science solutions to address industry opportunities and issues
• Advanced Degree/PhD with specialization in AI, Computer Science, Operations Research, Statistics or a highly quantitative field
• Previous exposure to providing creative data science solutions in the financial services, payments industry or large merchants is a plus
• Strengths in Deep Learning, Machine Learning, Recommendation systems, Generative models, Statistical analyses
• Expertise in multiple programming languages (e.g., Python, R, Spark)
• Experience with data science tools and technologies (e.g., TensorFlow, PyTorch, scikit-learn)
• Experience working with real-world data sets and building scalable models from large-scale data.
• Experience working with cross-functional teams (e.g., product, engineering, marketing)
• Fluent storyteller with superior interpersonal skills
• Orientation to detail, as expected to ensure highest level of quality/rigor
• Strong project management skills and the ability to meet deadlines in a fast-moving work environment
• Possess a collaborative, diplomatic, and flexible style, with the ability to tailor communication to various audience levels
• Results oriented with strong conceptual, analytical, and problem-solving skills, with demonstrated intellectual and analytical rigor
• Exhibit intellectual curiosity and strive to continually learn
• Experience working in global organizations and roles that need collaboration with stakeholders, partners and development team spread around the globe, gathering regional and global requirements

Additional Information

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Average salary estimate

$115000 / YEARLY (est.)
min
max
$100000K
$130000K

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 Sr. Data Scientist II - AI and Data Science Center of Excellence, Visa

If you're ready to take on an exciting challenge as a Sr. Data Scientist II at Visa's AI and Data Science Center of Excellence in Mexico City, you've come to the right place! At Visa, we're on a mission to connect the world through our innovative payment solutions, and we need passionate data scientists who are eager to help us unlock the power of data. In this role, you'll engage in complex problem solving using advanced AI and data science techniques to benefit both our clients and the organization. As part of the cross-functional team, you'll create frameworks and assets that not only solve today’s challenges but also empower global data science teams across Visa. You'll be at the forefront of developing large-scale data science systems, applying cutting-edge techniques to deliver business impacts. Collaboration is key, and your ability to communicate complex technical concepts to various stakeholders will play a crucial role in influencing data-driven decisions within the company. We’re looking for someone with extensive experience in data science, programming languages like Python and R, and familiarity with tools such as TensorFlow and PyTorch. If you’ve got a knack for innovation and a strong orientation toward detail, this is your chance to make a mark in the data landscape at Visa. Join us, and together, we can elevate payments solutions and shape the future of financial technology!

Frequently Asked Questions (FAQs) for Sr. Data Scientist II - AI and Data Science Center of Excellence Role at Visa
What are the responsibilities of a Sr. Data Scientist II at Visa?

The responsibilities of a Sr. Data Scientist II at Visa include solving complex problems for clients through advanced AI/ML models and data science techniques. This role involves developing and executing data science capabilities, creating frameworks for global teams, and applying advanced data science methodologies to drive tangible business impacts.

Join Rise to see the full answer
What qualifications are required for the Sr. Data Scientist II position at Visa?

An ideal candidate for the Sr. Data Scientist II role at Visa should have 8 years of relevant work experience with a bachelor’s degree, or at least 5 years of relevant experience with an advanced degree. Strong hands-on experience in developing advanced data science models and expertise in programming languages like Python and R are crucial for success in this position.

Join Rise to see the full answer
What programming languages should a Sr. Data Scientist II at Visa be proficient in?

A Sr. Data Scientist II at Visa should be proficient in multiple programming languages, particularly Python and R. Familiarity with tools and frameworks such as TensorFlow, PyTorch, and Spark is also vital for enabling effective data science solutions.

Join Rise to see the full answer
How does the Sr. Data Scientist II position at Visa contribute to its mission?

The Sr. Data Scientist II role contributes to Visa’s mission by utilizing data to drive innovation, create scalable AI/ML products, and leveraging data insights to influence business decisions, which ultimately enhance Visa's payment solutions and global customer experience.

Join Rise to see the full answer
What is the work environment like for a Sr. Data Scientist II at Visa?

The work environment for a Sr. Data Scientist II at Visa is hybrid, allowing flexibility between remote work and office presence. Employees are expected to work from the office 2-3 days a week, fostering collaboration and innovation within the team while balancing personal work preferences.

Join Rise to see the full answer
Common Interview Questions for Sr. Data Scientist II - AI and Data Science Center of Excellence
Can you explain a complex data science project you've led?

In answering this question, focus on detailing the project's objectives, the methodologies used, and the impact your work had on the organization. Highlight your ability to communicate technical concepts to non-technical stakeholders, showcasing your collaborative skills.

Join Rise to see the full answer
What data science tools and programming languages are you most proficient in?

Be prepared to discuss your expertise in languages like Python and R, as well as specific data science tools you've used, such as TensorFlow or PyTorch. Share examples of how you've applied these in previous projects to drive results.

Join Rise to see the full answer
How do you ensure the quality and rigor of your data science work?

Discuss your attention to detail and the processes you follow to validate models and approaches. Emphasize the importance of testing, peer reviews, and continuous learning to ensure high-quality outputs.

Join Rise to see the full answer
Describe a time you had to influence a business decision with your data findings.

Provide a clear scenario where your data-driven insights led to a significant decision. Focus on how you communicated your findings effectively and the impact it had on the business strategy.

Join Rise to see the full answer
What emerging data science trends are you currently following?

Stay informed about trends like deep learning advancements, ethical AI, and real-time data processing. Sharing your insights on these topics shows your passion for the field and willingness to adapt to new technologies.

Join Rise to see the full answer
How do you handle tight deadlines on data projects?

Illustrate your project management skills and the strategies you employ to prioritize tasks and effectively meet deadlines without compromising on quality. Mention any tools you use for organization.

Join Rise to see the full answer
Can you give an example of a successful collaboration with cross-functional teams?

Select a specific instance where you worked collaboratively, detailing your role in facilitating communication, sharing insights, and how this collaboration resulted in successful outcomes.

Join Rise to see the full answer
What is your approach to staying updated with industry advancements in data science?

Explain your methods for continuous learning, such as following industry publications, attending conferences, participating in relevant online courses, and engaging with the data science community.

Join Rise to see the full answer
How do you approach the development of a large-scale data science system?

Discuss your systematic approach, including project planning, identifying key metrics for success, and integrating diverse data sources. Highlight the importance of scalability and efficiency.

Join Rise to see the full answer
What role do you believe innovative thinking plays in data science?

Express the importance of innovation in developing new solutions and optimizing processes. Share an example where your innovative thinking made a positive impact on a project.

Join Rise to see the full answer
Similar Jobs
Photo of the Rise User
Posted 5 days ago
Photo of the Rise User
Visa Remote Atlanta, GA
Posted 4 days ago
Photo of the Rise User
Posted 4 days ago
Photo of the Rise User
Posted 7 days ago
Photo of the Rise User
Posted 9 days ago
Photo of the Rise User
Posted 7 days ago

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...

565 jobs
MATCH
Calculating your matching score...
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
November 30, 2024

Subscribe to Rise newsletter

Risa star 🔮 Hi, I'm Risa! Your AI
Career Copilot
Want to see a list of jobs tailored to
you, just ask me below!