Netflix Data Science Interview Questions
Netflix is a streaming media company headquartered in Los Gatos, California that has permeated culture as the largest content media company disrupted by tech. Founded in 1997, Netflix started out as a DVD rental service, and then expanded to the streaming business. Now Netflix had over 150 million paid subscriptions worldwide, including its 60 million US users . With streaming supported on over a thousand devices and around 3 billion hours watched every month, data is collected on over 100 billion events per day.
Data science is in the DNA of Netflix and Netflix leverages data science in improving every aspect of the user experience. Netflix has over the years been leveraging data science for its content recommendation engine, to decide which movies and tv shows to produce and to improve user experience.
The Data Science Role at Netflix
The role of a data scientist at Netflix is heavily determined by the team. However, general data scientist roles at Netflix cut across business analytics, statistical modeling, machine learning, and deep learning implementation. Netflix is a large company that has data scientists working in over 30 different teams including personalization and algorithms, marketing analytics team, and the product research and tooling team, with skillsets ranging from basic analytics to heavy machine learning algorithms.
Required Skills
Netflix hires only qualified data scientists with at least five years of relevant experience. Their requirements are very specific and recruiters are keen to hire specifically for each job role . It helps to have industry experience specific to the role on the team.
Other relevant qualifications include:
Advanced degree (MS or PhD) in Statistics, Econometrics, Computer Science, Physics, or a related quantitative field.
5+ years of relevant experience with a proven track record of leveraging massive amounts of data to drive product innovation.
Experience with distributed analytic processing technologies (Spark, SQL, Pig, Presto, or Hive) and strong programming skills in Python, R, Java, or Scala.
Experience in building real-world machine learning models with demonstrated impact.
Deep statistical skills utilized in A/B testing, analyzing observational data, and modeling.
Experience in creating data products and dashboards in Tableau, R Shiny, or D3.
What are the data science teams at Netflix?
The term data science at Netflix encompasses a wide scope of fields and titles related to data science. The title data scientist comprises of roles and functions that span from product analytics-focused data scientists to data engineering and machine learning functions.
Personalization Algorithms : Collaborate with product and engineering teams to evaluate the performance and optimize personalization algorithms used to suggest movies, TV...
