Netflix Tagger Jobs $22/Hr
Job Responsibilities: Data Science and Analytics Manager
Salary: $22/Hour
Company: Netflix
Location: Seattle, USA
Educational Requirements: Bachelor Degree
About the Company: Netflix is an American subscription video-on-demand over-the-top streaming television service owned and operated by Netflix, Inc., a company based in Los Gatos, California. It offers films and television series from various genres, and it is available in multiple languages.
Full Job Description :
Streaming leisure is on the heart of Netflix. Members need a continuing, immersive Netflix revel in, and we supply it with a symphony of structures operating collectively backstage. Content documents need to be encoded, disbursed to our content transport community, then adaptively streamed through the wide range of gadgets our participants use to watch the content they love. Our records science and analytics team takes a holistic approach to measuring and improving those structures and their remaining effect on Netflix participants. As we upload video games, live content material, and ads into the Netflix product, we’re asking new questions about how the streaming product ought to paintings and how to exceptional serve our individuals. Our stop aim is to power the nice of the amusement experience better and higher for every of our worldwide contributors.
What you may do
We’re looking for an performed facts technological know-how and analytics chief for the core streaming and encoding business regions. You will lead a diverse group of talented, senior individual participants who are professionals within the fields of analytics, experimentation, and machine mastering. You will companion with engineering teams to optimize the Netflix streaming product with an eye fixed in the direction of scaling analytics, get admission to to insights, innovating on methodologies, and locating new opportunities to apply high-impact technology and analytics to Netflix demanding situations. Experimentation is a vital part of our DNA, so you’ll make a contribution to smarter, faster, simpler pleasant methods to test
You have
- Enjoy hiring and main excessive-quality, statistics-centered teams with numerous technical strengths
- Enjoy creating and fostering an inclusive crew subculture
- Revel in partnering with technical engineering or product groups
- Proven electricity for applying records and experimentation to clear up problems
- Strength in independently locating opportunities and executing on science and analytics challenges for optimum enterprise impact
