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Senior Data Scientist - job 3 of 3

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

The Global Data Science group supports our bank and merchant partners by using our extraordinarily rich data sets that span more than 3 billion cards globally and captures more than 100 billion transactions in a single year. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. To support our rapidly growing group, we are looking for Data Scientists who are passionate about the opportunity to use Visa’s rich data to address and deliver substantial results to complex problems! You will join one of the Data Science focus areas (e.g. merchants, banks) with an opportunity for rotation between Data Science teams to gain broad exposure to Visa’s business.

Essential Functions

  • Use and build new predictive models to innovate and optimize customer experiences, revenue generation, data insights, advertising targeting and other business outcomes
  • Provide technical leadership in a team that generates business insights based on big data, identify impactful recommendations, and communicate the findings to clients
  • Be an out-of-the-box problem solver who is passionate about applying data science techniques and innovate thinking to our unique data to help our clients both innovate and solve the problems they face
  • Running projects from scoping to delivery, and engaging with internal/external partners
  • Connect with clients to understand the challenges they face and convince them with data
  • Find opportunities to craft products out of analyses that are suitable for multiple clients
  • Work with partners throughout the organization to find opportunities demonstrating Visa data to drive business solutions
  • Synthesize ideas/proposals in writing and engage in productive discussions with external or internal partners
  • Provide mentorship in modern analytic techniques and business applications
  • Prioritize and lead multiple data science projects with diverse multi-functional 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

  • 5 or more years of relevant work experience with a Bachelors Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD


Preferred Qualifications

  • 6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD
  • 4+ years’ experience in data-based decision-making or quantitative analysis
  • Master’s degree in Statistics, Operations Research, Applied Mathematics, Economics, Data Science, Business Analytics, Computer Science, or a related technical field
  • Analyzing large data sets using programming languages such as Python, R, SQL, Hive and/or Spark
  • Building predictive and descriptive statistical models using machine learning tool kit, Jupyter notebooks, Python, or others
  • Presenting evidence based insights and conveying relevant recommendations
  • Previous exposure to financial services, credit cards or merchant analytics is a plus, but not required


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.

· We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Additional Information

Work Hours: Varies upon the needs of the department.

Travel Requirements: This position requires travel 5-10% of the time.

Mental/Physical Requirements: This position will be performed in an office setting.  The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

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.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 132,000 to 225,300 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Average salary estimate

$178650 / YEARLY (est.)
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$132000K
$225300K

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What You Should Know About Senior Data Scientist, Visa

Are you ready to step into an exciting role as a Senior Data Scientist with Visa in Atlanta, GA? At Visa, we connect the world through a gold-standard payments network, which means our data is vast, and the possibilities are endless! As a Senior Data Scientist, you will leverage extraordinary data sets that encompass more than 3 billion cards and over 100 billion transactions annually. Your mission, should you choose to accept it, will involve developing innovative predictive models that enhance customer experiences, optimize revenue generation, and provide actionable insights to our partners. You’ll be an integral part of a collaborative team, seeking out complex data challenges, and you will engage directly with clients to understand their needs while helping them find data-driven solutions. This is your chance to mentor others, showcase your analytic prowess, and work across diverse projects that can significantly impact our clients' businesses. And with our hybrid work model, you’ll enjoy the flexibility of remote work while still connecting with your colleagues in the office a few days a week. If you’re passionate about data science and ready to make an impact in a purpose-driven industry, Visa wants you on board!

Frequently Asked Questions (FAQs) for Senior Data Scientist Role at Visa
What are the responsibilities of a Senior Data Scientist at Visa?

As a Senior Data Scientist at Visa, your responsibilities include developing predictive models, providing technical leadership, and generating business insights using big data. You'll engage with clients to understand their challenges and present data-driven solutions. Project management from scoping to delivery is another critical aspect of your role, along with identifying opportunities for product development based on analyses.

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What qualifications are needed for the Senior Data Scientist position at Visa?

To qualify for the Senior Data Scientist role at Visa, candidates should have at least 5 years of relevant work experience alongside a Bachelor's degree, or a combination of advanced degrees and relevant work experience. Preferred qualifications include a Master's degree in fields like Statistics or Data Science, along with substantial experience in quantitative analysis and programming skills in languages such as Python and SQL.

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How does the hybrid work model function for Senior Data Scientists at Visa?

The hybrid work model at Visa for Senior Data Scientists allows you to work remotely and in the office. Employees typically work in the office 2-3 set days a week, based on team needs and leadership guidelines. This model provides flexibility while still fostering collaboration and connection with your coworkers.

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What programming languages are essential for a Senior Data Scientist at Visa?

Essential programming languages for a Senior Data Scientist at Visa include Python, R, SQL, and familiarity with tools such as Hive and Spark. These skills are crucial for analyzing large data sets and building predictive models that drive significant business outcomes.

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What kind of projects will a Senior Data Scientist at Visa lead?

As a Senior Data Scientist at Visa, you'll lead a variety of projects ranging from designing predictive models to crafting business insights-driven recommendations for clients. You'll also have the opportunity to rotate between different Data Science teams, allowing you to gain broad exposure to various aspects of Visa’s operations and client needs.

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Common Interview Questions for Senior Data Scientist
Can you explain your experience with predictive modeling techniques as a Senior Data Scientist?

In answering this question, share specific examples of past projects where you developed predictive models, detailing the techniques used, the data involved, and the outcomes achieved. Highlight your approach to problem-solving and how you used data to enhance decision-making for clients.

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How do you communicate complex data insights to non-technical stakeholders?

When answering, emphasize the importance of clarity and storytelling in your communication. Describe your methods, such as using visualizations, clear summaries, and relevant business contexts to ensure that non-technical stakeholders grasp the significance of the data insights.

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What tools and programming languages are you proficient in for data analysis?

List the programming languages and tools you're skilled with, such as Python or R for data analysis, SQL for querying databases, and Jupyter notebooks for development. Also, mention any specific libraries or frameworks in machine learning you have experience with.

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Describe a challenging data science problem you've faced and how you solved it.

Select a specific instance where you encountered a significant challenge, outline the context, and describe the approach you took. Mention the analytical methods applied and how you iterated on your solution to arrive at a successful outcome.

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How do you prioritize projects as a Senior Data Scientist?

Discuss your strategies for prioritizing projects, such as assessing the potential business impact, resource availability, and project deadlines. Sharing a systematic approach showcases your organizational skills and understanding of business goals.

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What experience do you have in leading a data science team?

Highlight your leadership experiences, such as mentoring colleagues, guiding project teams, or implementing best practices in data science. Share examples of how your guidance helped improve team performance and project outcomes.

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Can you give an example of how your insights led to a business decision?

Answer with a detailed example where your data analysis influenced strategic business decisions. Focus on the insight gained, how it was presented to stakeholders, and the resultant decision or action taken.

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What methods do you use to ensure the accuracy of your data analysis?

Explain your process for ensuring data accuracy, which may include data cleaning techniques, validation procedures, and continuous monitoring. Highlight recent examples that demonstrate this process effectively.

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

Share the resources you utilize for continuing education, including online courses, webinars, industry publications, or professional networks. This illustrates your commitment to professional development in the data science field.

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Why do you want to work as a Senior Data Scientist at Visa?

Express your enthusiasm for Visa’s mission and innovative culture. Highlight how the role aligns with your career aspirations, and how you feel your background and skills uniquely position you to contribute to Visa’s data-driven 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
December 11, 2024

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