Job Description
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
- 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
- Partner with a variety of Visa teams to provide comprehensive data solutions
- Find opportunities to craft products out of analyses that are suitable for multiple clients
Qualifications
What you will need:
10+ years experience building end-to-end systems as a Data Scientist, ML Engineer, or Data Engineer (or equivalent)
Bachelor s degree in an analytical field such as computer science, data engineering, data science, econometrics, or similar others (graduate degree is a plus)
Leads teams in the development of new products, solutions, and processes. Experienced in Agile/Scrum methodologies.
Experience applying software engineering rigor and best practices to machine learning, including CI/CD, automation, etc.
Experience with visualization and reporting tools, such as advanced user of Power BI, Tableau, MicroStrategy, open source tool, or similar
Experience with extracting and aggregating data from large data sets using Hadoop, Spark, Kafka, or other tools
Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
Previous exposure to financial services, credit cards or merchant analytics is a plus, but not required