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Veronica Hannan
Infrastructure Experimentation Science at Netflix
Veronica Hannan is a Staff Data Scientist at Netflix, specializing in experimentation and causal inference.12 She works on the marketplace experimentation team, focusing on the design and analysis of experiments to improve Netflix's services.2
Professional Background
Veronica has a diverse background in data science and engineering:
- Current Role: Staff Data Scientist at Netflix2
- Previous Positions:
- Senior Data Scientist at Netflix
- Data Scientist at Uber
- Data Scientist at StyleSeat
Education
Veronica holds a degree from MIT.2
Expertise and Responsibilities
At Netflix, Veronica's work involves:
- Designing and executing experiments to improve the Netflix experience for members
- Analyzing results to inform decision-making
- Applying sophisticated learning models, such as bandit algorithms, for continuous experimentation1
- Developing deep domain expertise about Netflix members and their preferences
- Collaborating with Product Managers, engineering teams, and other business units1
Skills and Approach
Veronica's role requires:
- A broad technical skill set
- A self-starter attitude
- Deep curiosity about the domain space
- Relentless pursuit of knowledge from data
- Ability to synthesize learnings from multiple experiments
- Innovative thinking in experimental design and analysis1
Veronica is part of Netflix's Data Science and Engineering organization, which places a strong emphasis on experimentation and causal inference to support decision-making throughout the company.13
Highlights
Nov 8 · research.netflix.com
Inferring the Long-Term Causal Effects of Long-Term Treatments ...
Jan 11 · netflixtechblog.com
Experimentation is a major focus of Data Science across Netflix
Sep 29 · research.netflix.com
Unbiased Experiments in Congested Networks - Netflix Research