This job has expired, please see additional jobs below
Senior Data Scientist, Content Science & Algorithms
Netflix
Beverly Hills, CA, United States
Job Details - this job has expired, please see similar jobs below
Our Team
The Content Science & Algorithms team is a world class group of data scientists focusing on the super interesting question of which movies and shows Netflix should create or purchase the rights to. The team seeks to use data science to better understand this problem and build tools to support the content acquisition teams in their decision making.
The Role
We are looking for experienced individuals who are passionate about data science and enjoy working in a collaborative environment. Members of the team typically work on one or two projects (e.g. predicting movie viewership) over any six month period.
Machine learning tends to be our primary tool however, we use that in combination with a wide variety of techniques including descriptive analytics, causal inference, crowd-sourcing, network science, A/B testing and data visualization. While we also partner with an engineering team, we do a great deal of coding ourselves and the ability and desire to code is a must. We primarily use Python and R, but maintain the flexibility to use the best tool for the job.
Qualifications
• Experience with, and a strong desire to use, the latest machine learning and data mining algorithms.
• Strong coding ability. Desire to work in Python. Experience with any of these is a plus: scikit-learn, Pandas, matplotlib, R, ggplot, JavaScript, D3, SQL, Hadoop, and Spark. Preference towards open source software.
• Appreciation of good design in both software UI and slideshow presentations. Willingness to give equal weight to both generating great results and communicating those results to technical and non-technical business partners.
• Hunger to continue learning and developing as a data scientist. Willingness to help further build the team, including contributing fresh ideas, establishing best practices, interviewing data science candidates, following trends, and attending conferences (e.g. KDD, NIPS).
• Strong academic background preferred, but all backgrounds (e.g. startup) considered.
• Love of television and film a plus!
Culture
You will have the opportunity to impact the business in a meaningful way. You will have the freedom to innovate, solve interesting problems and influence in a fast paced, exciting environment. You will work with smart people who love to solve hard problems, and who not only expect, but also foster high performance. For a more in-depth look into our culture, check out http://www.slideshare.net/reed2001/culture-1798664<!---->