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

Data Scientist - job 1 of 4

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

  • Execute model development and performance tracking for risk models, generate performance analysis at the aggregate level, as well as issuer level.  Interpret and present performance results to non technical audience.
  • Compile complex predictive model packages for production deployment, support model installations, and monitor and calibrate production models
  • Propel analytic product development via conducting statistical analyses on various data sources, and add values to products by being innovative and applying the analysis
  • Find opportunities to create and automate repeatable analyses or build self service tools for business users
  • Support sales and business efforts with sound statistical and financial analysis, execute ad hoc analyses to meet the fast changing market demands
  • Conduct transaction data analyses with Hadoop, Cloud and big data technologies for internal and external product owners, and develop deeper insights into the products using advanced statistical methods
  • Ensure project delivery within timelines and meet critical business needs
  • Promote big data innovations and analytic education throughout the Visa organization

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
• 2 or more years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD)

Preferred Qualifications
• 3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
• A Master's Degree in a quantitative field, such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or engineering
• Successful internships or 6 month of experience in a predictive modeling function
• Preference given to candidates with multiple years working experience in predictive modeling functions
• Candidates with a PhD in a quantitative field, such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or engineering preferred
• Strong background in two or more of the following areas: machine learning, AI algorithms, computations, statistical learning theory, scalable systems (e.g. Spark, Hadoop), large scale data analysis, optimization, functional analysis and deep learning.
• Experience with a range advanced techniques and emerging approaches to big data and data science (Python, Spark, TensorFlow, H2O, Dask, etc),extensive experience with SQL, Hive for extracting and aggregating data
• Good oral and written communication skills and attention to details
• Must be a team player and capable of handling multitasks in a dynamic environment
• Visa and financial, payment industry knowledge or previous experience with fraud modeling is a plus, but not required

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 116,500.00 to 164,500.00 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

$140500 / YEARLY (est.)
min
max
$116500K
$164500K

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 Data Scientist, Visa

As a Data Scientist at Visa in Washington, DC, you'll be at the forefront of innovation in the payments technology world. Your primary challenge will involve executing model development and performance tracking for risk models that impact millions of transactions globally. You'll be tasked with generating performance analyses at both the aggregate and issuer levels and presenting these insights in a way that resonates with a non-technical audience—making your communication skills just as important as your analytical ones. You'll dive into big data using technologies like Hadoop and Cloud to extract valuable insights that help drive decision-making processes within the company. Your role will also support the sales and business teams through statistical and financial analyses, ensuring timely delivery while navigating through dynamic market demands. There will be a significant focus on finding opportunities for automation and innovation, enabling self-service tools for our business users. With your expertise, you'll contribute to promoting big data innovations and analytic education throughout the organization. Visa fosters a collaborative environment, and as a hybrid employee, you’ll have flexibility, splitting your time between working remotely and in the office. If you're ready to make data-driven decisions that uplift the economy globally, this is the perfect opportunity for you.

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

As a Data Scientist at Visa, your primary responsibilities include executing model development and tracking performance for risk models, interpreting complex data for non-technical audiences, and conducting statistical analyses on diverse data sources. You'll also be involved in automating analyses and creating self-service tools for business users, all while utilizing advanced big data technologies like Hadoop and Cloud.

Join Rise to see the full answer
What qualifications do I need for the Data Scientist position at Visa?

To qualify for the Data Scientist role at Visa, candidates typically need at least 2 years of work experience along with a Bachelor's Degree, or more than 2 years with an Advanced Degree in a quantitative field. Preferred qualifications include 3 or more years of relevant experience, a Master's or PhD in Statistics, Mathematics, Computer Science, or related fields, and expertise in machine learning and big data technologies.

Join Rise to see the full answer
What tools and technologies does a Data Scientist at Visa use?

Data Scientists at Visa use a range of advanced tools and technologies including Python, Spark, TensorFlow, H2O, and Dask for analyzing large datasets. Additionally, extensive experience with SQL and Hive is important for data extraction and aggregation, enabling you to utilize big data effectively in your analyses.

Join Rise to see the full answer
How does the hybrid work model function for the Data Scientist position at Visa?

The hybrid work model for the Data Scientist position at Visa allows employees to split their time between remote and office work. Typically, employees are expected to work from the office 2-3 days a week, ensuring a balance that supports both collaborative efforts and individual productivity. This model is designed to meet the evolving needs of the business while providing flexibility.

Join Rise to see the full answer
What is the estimated salary range for a Data Scientist at Visa?

The estimated salary range for a new Data Scientist hire at Visa is between $116,500 and $164,500 per year, depending on various factors such as experience and location. Additionally, compensation may include potential sales incentive payments, bonuses, and equity opportunities.

Join Rise to see the full answer
Common Interview Questions for Data Scientist
Can you describe your experience with predictive modeling?

In your response, highlight specific projects or roles where you developed predictive models. Discuss the techniques you used, such as machine learning algorithms, and any tools like Python or R that were essential in your work. Bring in metrics to illustrate the efficacy of your models in real-world applications.

Join Rise to see the full answer
How do you approach data cleaning and preparation?

Explain the systematic steps you take to ensure data quality, including identifying missing values, outliers, and inconsistencies. Highlight an experience where your data preparation significantly impacted the outcome of your analysis or model deployment.

Join Rise to see the full answer
What big data technologies have you worked with?

Detail your familiarity with big data frameworks like Hadoop, Spark, or similar technologies. Discuss specific use cases where these technologies helped you analyze large datasets efficiently and how they contributed to the overall success of your data projects.

Join Rise to see the full answer
Describe a successful project where you collaborated with non-technical stakeholders.

Share a specific example that illustrates your ability to translate complex data findings into actionable insights for non-technical stakeholders. Emphasize your communication skills and any visualization tools you used to effectively present your findings.

Join Rise to see the full answer
What statistical methods do you find most useful in data analysis?

Select a few statistical methods or techniques that you have found effective in your analyses. Discuss how you applied these methods in your work and the impact they had on decision-making processes or model accuracy.

Join Rise to see the full answer
How do you ensure your models remain relevant over time?

Describe your approach to model monitoring and maintenance. Discuss techniques for recalibration, regular performance checks, and how you incorporate new data to refine and update models as needed.

Join Rise to see the full answer
Can you explain a challenging problem you've solved using data science?

Provide a detailed example of a complex problem you faced. Explain the methodologies you used to tackle the issue and the positive outcomes that resulted from your analytical approach.

Join Rise to see the full answer
How do you handle multiple projects with competing deadlines?

Illustrate your project management skills by sharing a strategy or tool you use to prioritize tasks. Describe an experience where you successfully managed competing deadlines through effective time management.

Join Rise to see the full answer
What role does teamwork play in your data science projects?

Explain the collaborative nature of data science work. Provide examples of how you've worked effectively in teams, emphasizing your contribution to team dynamics and the sharing of insights to achieve project goals.

Join Rise to see the full answer
Why do you want to work for Visa as a Data Scientist?

Convey your enthusiasm for Visa's commitment to innovation in payments and technology. Mention how the role aligns with your career objectives and what you hope to contribute to Visa’s mission.

Join Rise to see the full answer
Similar Jobs
Photo of the Rise User
Posted 4 days ago
Photo of the Rise User
Visa Remote Pasay City, Philippines
Posted 4 days ago
Photo of the Rise User
ONE Remote No location specified
Posted 4 days ago
Mission Driven
Inclusive & Diverse
Growth & Learning
Transparent & Candid
Flex-Friendly
401K Matching
Paid Sick Days
Paid Time-Off
Medical Insurance
Equity
Maternity Leave
Paternity Leave
Posted 12 days ago
Photo of the Rise User
iKnowHow S.A. Remote No location specified
Posted 6 days ago
Photo of the Rise User
AECOM Remote Glasgow, United Kingdom
Posted yesterday
Photo of the Rise User
Posted 5 hours ago
Photo of the Rise User
Handshake Remote San Francisco, CA (hybrid)
Posted 11 days ago
Dental Insurance
Disability Insurance
Flexible Spending Account (FSA)
Health Savings Account (HSA)
Vision Insurance
Sabbatical
Paid Holidays
Photo of the Rise User
Posted 5 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...

867 jobs
MATCH
Calculating your matching score...
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
December 21, 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!