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Data Scientist - job 13 of 21

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

Visa U.S.A. Inc., a Visa Inc. company, needs a Data Scientist (multiple openings) in Atlanta, GA to

 

  • Work within a team to generate business insights based on big data, identify actionable recommendations and communicate the findings to clients.
  • Brainstorm innovative ways to use our unique data to answer business problems.
  • Communicate with clients to understand the challenges they face and convince them with data.
  • Extract and understand data to form an opinion on how to best help our clients and derive relevant insights.
  • Develop visualizations to make your complex analyses accessible to a broad audience.
  • Find opportunities to craft products out of analyses that are suitable for multiple clients.
  • Work with stakeholders throughout the organization to identify opportunities for leveraging Visa data to drive business solutions.
  • Mine and analyze data from company databases to drive optimization and improvement of product, marketing techniques and business strategies for Visa and its clients.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Develop custom data models and algorithms to apply to data sets.
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, data insights, and other business outcomes.
  • Position reports to the Atlanta, GA office and may allow for partial telecommuting.

Qualifications

Basic Qualifications:
 

  • Employer will accept a Master’s degree, or foreign equivalent, in Statistics, Operations Research, Applied Mathematics, Economics, Data Science, Business Analytics, Computer Science, or a related technical field.
  • Position requires experience with the following through academic coursework and/or work experience:
  • Extracting and aggregating data from large data sets using SQL/Hive or Spark;
  • Analyzing large data sets using programming languages such as Python, R, SQL and/or Spark;
  • Generating and visualizing data-based insights in software such as Tableau;
  • Communicating data-driven insights and conveying actionable recommendations;
  • Managing and organizing work in Office software such as Word, Excel, PowerPoint and/or Teams;
  • Building predictive and descriptive statistical models using machine learning tool kit, Jupyter notebooks, Python, and/or SAS; and
  • Data mining and statistical modeling (e.g., regression modeling, clustering techniques, decision trees, etc.).

Additional Information

Worksite: Atlanta, GA

 

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.

 

Travel Requirements: This position does not require travel.

 

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.

                         

U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is $110,000.00 USD to $170,400.00 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 an annual bonus and equity. Visa has a comprehensive benefits package for which this position is eligible that includes Medical, Dental, Vision, 401(k), Employee Stock Purchase Program, FSA/HSA, Life Insurance, Paid Time off and Wellness Programs.

Average salary estimate

$140200 / YEARLY (est.)
min
max
$110000K
$170400K

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What You Should Know About Data Scientist, Visa

Discover the exciting world of data at Visa, where we're looking for passionate Data Scientists to join our Atlanta, GA team! As a pivotal part of our analytics crew, you'll dive into vast amounts of data, generating actionable insights that drive business solutions for our clients. You'll work collaboratively, brainstorming innovative strategies to address unique business challenges using our proprietary datasets. Your role will involve extracting and analyzing complex data using tools like SQL, Python, and R, always aiming to visualize these findings in a way that everyone can understand. Communicating with clients to grasp their needs will be a critical part of your day-to-day, ensuring that your data-driven recommendations are not just insightful but practical. This hybrid position allows for flexibility as you’ll balance time between our vibrant office and remote work, enjoying a perfect mix of collaboration and focus. Join Visa, the industry leader in payments and technology, and be part of a mission that uplifts everyone, everywhere. Here’s your chance to make an impact through compelling data analysis and innovative solutions while enjoying a comprehensive benefits package and a culture that promotes growth and inclusivity. If you have a master’s degree in a related field and experience with data modeling, visualizations, and statistical analysis, we’d love to hear from you!

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

As a Data Scientist at Visa, your key responsibilities include generating business insights from large datasets, using predictive modeling to enhance customer experiences, and collaborating with clients to provide actionable recommendations based on data analyses. You'll also be tasked with creating visualizations to distill complex findings into understandable formats for diverse audiences.

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What qualifications are needed to become a Data Scientist at Visa?

Visa requires candidates for the Data Scientist position to hold a Master’s degree or foreign equivalent in areas like Statistics, Data Science, or Computer Science. Additionally, experience with SQL, Python, R, and familiarity with data visualization tools such as Tableau are essential for success in this role.

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What tools do Data Scientists at Visa typically use?

Data Scientists at Visa use a variety of tools including SQL for data extraction, Python and R for data analysis, and visualization software like Tableau to present findings. Knowledge of machine learning techniques and use of Jupyter notebooks for building predictive models are also part of the job.

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Does the Data Scientist role at Visa allow for remote work?

Yes, the Data Scientist position at Visa is a hybrid role, allowing for flexibility with partial telecommuting. Employees are expected to work on-site in Atlanta, GA for 2-3 days a week, fostering collaboration while also enjoying the ability to work remotely based on business needs.

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What kind of projects will a Data Scientist at Visa work on?

Data Scientists at Visa engage in a range of projects including analyzing customer data to optimize marketing strategies, developing data models to improve product offerings, and crafting visualizations that communicate insights effectively to clients and stakeholders.

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Common Interview Questions for Data Scientist
Can you describe your experience with SQL in data extraction?

When answering, outline specific projects where you leveraged SQL to extract and manipulate data. Emphasize your familiarity with writing complex queries and any performance optimization techniques you've applied to improve data retrieval times.

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How do you approach data visualization, and which tools do you prefer?

Discuss your process for choosing the right visualization to represent data insights, citing specific tools like Tableau or Matplotlib in Python. Share examples of past visualizations that effectively communicated analytical findings to non-technical stakeholders.

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What predictive modeling techniques have you used, and how did you apply them?

Mention specific predictive modeling techniques such as regression analysis, decision trees, or clustering. Provide examples of how these models helped solve business problems and improved decision-making processes within your previous roles.

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Tell us about a time you derived insights from a large dataset.

Share a specific instance where you worked with a sizeable dataset, detailing the analysis process, the insights generated, and how those findings impacted business strategy or client outcomes. Highlight any challenges faced and how you overcame them.

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How do you handle communicating complex data insights to clients?

Talk about your approach to simplifying complex concepts through effective storytelling and visualization. Provide an example of how you ensured clarity and understanding in a past presentation or report to a client.

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What is your experience with machine learning algorithms?

Discuss specific machine learning algorithms you have implemented, such as random forests or support vector machines. Give context on how you applied these algorithms to real-world problems and the results achieved, ideally using metrics to demonstrate success.

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How do you ensure the accuracy of the data you analyze?

Explain your methods for validating and cleaning data before analysis. Discuss any tools or frameworks you use to assess data quality and highlight the importance of data integrity in informing business decisions.

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What challenges have you faced in a data science project, and how did you overcome them?

Describe a specific challenge, such as working with incomplete data or tight deadlines. Focus on your problem-solving approach, alternative strategies you explored, and the successful outcome you achieved by adapting your methods.

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

Articulate your enthusiasm for working in the payment technology sector and how Visa’s mission aligns with your career goals and values. Mention specific aspects of Visa’s work culture or projects that excite you and how you can contribute meaningfully to its objectives.

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Can you give an example of how you collaborated with stakeholders?

Provide a narrative of a successful collaboration where you worked with various stakeholders, such as product managers or clients, to align data insights with business strategies. Highlight communication strategies and any tools used to facilitate collaboration.

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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 12, 2025

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