Visa U.S.A. Inc. needs to generate business insights based on big data, identify impactful recommendations, and communicate the findings to clients
Requirements
- Analyzing large data sets using programming languages, such as Python, SQL, R, and/or Spark
- Creating data pipelines to support data ETL processes
- Scheduling and monitoring pipelines for data processing
- Designing and implementing A/B tests
- Designing and implementing marketing attribution models
- Building predictive and descriptive statistical models using machine learning, Jupyter notebooks, Python and Scala
- Performing statistical analysis such as Time Series, Regression, Clustering, Causal Inference and Experiment Design
Responsibilities
- Provide technical leadership in a team that generates business insights based on big data, identify impactful recommendations, and communicate the findings to clients
- Use, build and automate new predictive models to innovate and optimize customer experiences, revenue generation, data insights, advertising targeting and other business outcomes
- Run projects from scoping to delivery, and engaging with internal/external partners
- 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
- Prioritize and lead multiple data science projects with diverse multifunctional partners
Other
- Master’s degree in Statistics, Quantitative Research or related field and 4 years of experience in the job offered or in a data scientist-related occupation
- Collaborating with cross-functional teams to develop data-driven solutions
- Position reports to the Washington, DC office and may allow for partial telecommuting
- Engage in productive discussions with external or internal partners
- Develop data-driven solutions
