Description
We are looking for a versatile, curious, and energetic Lead Data Scientist to join our team of passionate and dedicated engineers at Visa. As a Lead Data Scientist, you will be an integral part of a multi-functional development team inventing, designing, building, and testing products that reach a truly global customer base.
The focus is on defining, executing, and delivering product and technical features at scale quickly and promoting a diverse culture of cross-functional collaboration and engineering excellence. You will face big challenges and question the status quo, changing the way data products are developed at Visa!
Essential Functions:
- Provides technical expertise and mentors others to implement extensible, maintainable, and reusable code, defines framework, principles, coding patterns, guidelines, styles, and standard methodologies, and adheres to all security requirements for the application of artificial intelligence and data science.
- Develops strategies for and leads team's efforts to drive efficiencies across data extraction and ensure data quality and completeness using data wrangling, complex data modeling, and artificial intelligence.
- Ensures adherence to data management principles, governance, process, and tools to maintain data quality across products.
- Advises on technical specifications during discussions with collaborators to identify and clarify sophisticated technical or business requirements and identify business needs and upstream and/or downstream system/application dependencies.
- Identifies complex trends across relevant data sources and uses insights to plan platform-wide future solution updates.
Qualifications:
- 10 or more years of work experience with a Bachelor’s Degree or at least 8 years of work experience with an Advanced Degree (e.g. Masters/ MBA/JD/MD) or at least 3 years of work experience with a PhD
- Experience building AI / ML powered models for predictive analytics / insights
- Experience solving data problems using data technologies (e.g., Hadoop, Hive, Kafka, Redis, NoSQL, RDBMS)
- Experience designing, implementing, and maintaining ETL pipelines
- Experience with data analysis, metrics building & evaluation
- Experience with Big Data and Analytics in general leveraging technologies like Hadoop, Spark, Flink and MapReduce
Benefits:
- Comprehensive benefits package including Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program
Salary:
- The estimated salary range for this position is $180,000.00 to $ 288,000.00 USD per year