Visa Inc

Sr. Data Scientist

Visa Inc$145K — $232K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree in Data Science, Engineering, or a related field.
  • 2+ years of experience in data science roles.
  • Proficiency in Python, R, SQL, Hive, and Spark for large data analysis.
  • Experience with data automation tools and MLOps frameworks like Airflow and MLFlow.
  • Skills in data visualization using Plotly, Tableau, and Power BI.
  • Knowledge of statistical hypothesis testing methods, including A/B testing.
  • Experience in project management within the payments landscape.

Responsibilities

  • Build and apply predictive models to enhance customer experiences and revenue.
  • Manage relationships with clients and stakeholders, translating technical details for non-technical audiences.
  • Lead data science projects from inception to delivery, collaborating with various partners.
  • Design and orchestrate ETL pipelines to ensure scalable data processing.
  • Apply statistical testing methods to evaluate and inform business strategies.
  • Develop interactive dashboards to effectively share insights with stakeholders.
  • Identify potential scalable product opportunities from data analyses.

Benefits

  • Comprehensive health benefits including Medical, Dental, and Vision.
  • 401(k) retirement plan with company contributions.
  • Flexible work arrangement with hybrid office model.
  • Paid Time Off (PTO) and wellness program benefits.
  • Potential bonus and equity opportunities.
Full Job Description
Job Description

Visa U.S.A. Inc., a Visa Inc. company, needs a Sr. Data Scientist (multiple openings) in Washington, DC to:
  • Use and build predictive models to innovate and optimize customer experiences, revenue generation, data insights, advertising targeting, and other business outcomes.
  • Manage client and stakeholder relationships - particularly the technical components and the communications of those technical components to non-technical members.
  • Provide technical leadership in a team that generates business insights based on big data, identifies impactful recommendations, and communicates findings to clients.
  • Apply data science techniques and innovative thinking to our unique datasets to help clients solve complex problems and drive innovation.
  • Utilize tools such as Presto, DBViz, DataGrip, and MLP for data access, and modeling frameworks like Pytorch, Gradient boosted trees (ex xgboost, catboost, and lightgbm) and time series forecasting for model development.
  • Designing, scheduling, and orchestrating complex data workflows and ETL pipelines using Apache Airflow to ensure reliable and scalable data processing.
  • Applying statistical hypothesis testing methods (t-tests, chi-square tests, ANOVA, non-parametric tests) to evaluate business hypotheses and guide strategic recommendations.
  • Developing interactive data visualizations and dashboards using tools such as Plotly, Tableau, and Power BI to communicate insights effectively to technical and non-technical stakeholders.
  • Lead data science projects from scoping to delivery, engaging with internal and external partners throughout the process.
  • Connect with clients to understand their challenges and use data to deliver compelling, actionable solutions.
  • Identify opportunities to develop scalable products from analyses that can benefit multiple clients.
  • Collaborate across the organization to uncover opportunities where Visa data can drive business solutions.
  • Synthesize ideas and proposals in writing and engage in productive discussions with internal and external stakeholders.
  • Provide mentorship in modern analytic techniques and their business applications.
  • Prioritize and manage multiple data science projects involving diverse, cross-functional teams.
  • Domestic travel is required up to 5% of the time.
  • Position reports to the Washington, DC office and may allow for partial telecommuting.


Qualifications

Basic Qualifications:

Employer will accept a Master's degree in Data Science, Engineering or related field and 2 years of experience in the job offered or in a Data Scientist-related occupation.

Position requires experience in the following:
  1. Analyzing and working with large data sets using programming languages such as Python, R, SQL, Hive, and Spark.
  2. Data access tools including Presto, DBViz, DataGrip, and MLP.
  3. Developing and optimizing machine learning models and algorithms using scikit-learn, xgboost, Pytorch, TensorFlow, Keras, Optuna and ARIMA.
  4. Data automation and MLOps experience (Tuber, Airflow and MLFlow).
  5. Presenting evidence-based insights and conveying relevant recommendations to stakeholders.
  6. Data visualizations and dashboarding tools such as Plotly, Tableau, and Power BI to communicate insights effectively to technical and non-technical stakeholders.
  7. Experiment design and statistical hypothesis testing methods including Bayesian methods, t-tests, chi-square tests, ANOVA, non-parametric tests, and A/B testing to evaluate business strategies.
  8. Distributed computing experience using Ray.
  9. Communication with non-technical audiences and ability to develop and drive a presentation.
  10. Knowledge of familiarity implementing advanced statistical approaches to new and existing pipelines.
  11. Building custom python packages for automation.
  12. Experience navigating the payments landscape in a project management capacity, with a strong understanding of industry dynamics.


Additional Information

Worksite:Washington, DC

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: Domestic travel is required up to 5% 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.

U.S. APPLICANTS ONLY: The estimated salary range for this position is $145,300.00 to $232,700.00USD 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.

About Visa Inc

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Visa Inc Careers

Join the global team at Visa Inc, a leader in digital payments, and propel your career forward with a company known for innovation, leadership, and a commitment to diversity and growth. At Visa, we are not just a payments company; we are an engine for progress, powering inclusive and sustainable commerce worldwide.

Work You'll Do

At Visa Inc, you'll be part of a dynamic team that's dedicated to making a difference. Whether you're looking for job opportunities in technology, marketing, finance, or customer service, Visa offers a range of positions that allow you to contribute to our mission of connecting the world through the most innovative, reliable, and secure payment network.

Innovate and Lead

Join a culture of innovation where your ideas can change the way the world pays and moves money. With Visa, you'll work alongside industry experts to develop solutions that enhance customer experiences and drive economic growth. Our leadership is committed to providing you with the tools and training needed to excel.

Grow Your Career

Visa Inc is committed to the professional growth of every team member. With comprehensive benefits, competitive employment packages, and opportunities for advancement, Visa empowers you to shape your career path. From internships to leadership roles, the potential for growth is limitless.

Diversity and Inclusion

At Visa, we believe our strength lies in our diversity. We are dedicated to fostering an inclusive environment where everyone is respected, and every voice is heard. Through diversity training and a commitment to equitable hiring practices, we ensure that all team members have the opportunity to succeed.

Networking and Professional Development

Enhance your skills and expand your professional network through Visa’s global community. Participate in networking events, workshops, and seminars that are designed to bolster your industry knowledge and connect you with professionals across the globe.

Benefits and Culture

Visa Inc values the well-being of its employees. Enjoy a robust package of health, financial, and lifestyle benefits that support you and your family. Our culture promotes work-life balance, encourages curiosity, and supports the continuous pursuit of knowledge and excellence.

Join Our Team

Explore the exciting job opportunities at Visa Inc and discover how your skills and passions align with our mission. Prepare your resume, sharpen your interview skills, and get ready to embark on a rewarding career journey.

Stay Connected

Keep up to date with the latest at Visa Inc: - **Search Visa Jobs**: Find open positions that match your skills and interests. We look for passionate, curious, creative, and solution-driven team players. - **Read Careers Blog**: Stay ahead with career tips, insider perspectives, and industry-leading insights you can put to use today—all from the people who work here. - **Job Alert Emails**: Personalize your subscription to receive job alerts, latest news, and insider tips tailored to your preferences. See what exciting and rewarding opportunities await. At Visa Inc, your career is a journey of endless possibilities. Join us and be part of a team that is transforming the future of payments.
Learn more about Visa Inc
Size
21,500 employees
Market Cap
$387 billion
Industry
Net Income
$10.7 billion
Founded
1958
5 Year Trend
+9.8%
Revenue
$21.4 billion
NASDAQ

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