Senior Data Scientist - Infrastructure Data Science and Engineering

Netflix is enjoyed by more than 200 million households globally, entertaining new audiences every day.  Netflix’s cloud platforms and internal tools play a key role in making the Netflix experience great.  We are one of the pioneers of leveraging a highly scalable cloud footprint to deliver delightful experiences to our members worldwide. The Infrastructure Data Science and Engineering team leads the analytic innovation that enables architecting secure, scalable, and efficient platforms. We partner with our internal engineering teams to empower them through intelligent analytic products and integrated models that enable smarter decision making. 
Our team currently has 4 pods, and a successful candidate would have the opportunity to work across any of these areas:
Platform Innovation - focuses on large initiatives within the platform engineering org focused on human efficiency and reduced complexity enabling engineers and scientists to do their best and most innovative work. Our main partners in this space are the Productivity Engineering teams which provide the platforms to build, deploy, and run the jobs, services, and applications that enable the Netflix product (and internal products like studio and finance tools, and data products).Platform Scale - focuses on enabling our platform to scale efficiently to support new business areas as well as position ourselves to be able to reach 100s of millions of new members as the Netflix business grows around the world. We look for innovative ways to help the platform grow and scale for our needs.Security - focuses on keeping the Netflix service secure for our members as well as securing our corporate infrastructure for employees and contractors. Core DSE - is a software engineering heavy group which builds tooling for the Netflix Data community, enabling them to more effectively focus on business problems rather than boiler plate work needed to build, develop and deploy software at Netflix. 
We are looking for a Senior Data Scientist who can develop a deep understanding of our engineering infrastructure product space and implement reliable and novel data models, algorithms, and practices that increase the capabilities, efficiency, and impact of the Netflix infrastructure.  As part of this team, you will innovate in the infrastructure space and deliver value to the business by optimizing practices at the platform layer.  
The ideal candidate will have a strong background in statistics, machine learning, data science or similar, sound software engineering skills, great and demonstrable data intuition, and share our passion for continuously improving the ways we use data to make the Netflix infrastructure better. 

Who you are:

• Passionate about intuitive data models and an expert in the area of statistics and/or machine learning
• Experienced in building data models that describe large scale data sets 
• Fluent in multiple languages such as SQL, R, Python (or other similar languages)
• Strong Software Engineering chops
• Understand algorithmic trade-offs through years of experience and synthesis of past work or academic research
• Excel at taking vague requirements and crystallizing them into scalable data solutions 
• Excited about operating independently, demonstrating excellence, and learning new technologies and frameworks 
• Able to effectively communicate with experts from different backgrounds and build strong partnerships
• Comfortable presenting your insights and outcomes to all levels of the company and external collaborators or at conferences

Some bonus attributes:

• A passion for Cloud Infrastructure, Productivity tooling, Application Security, and/or Information Security
• Deep statistical skills utilized in A/B testing and analyzing observational data
• Past technical leadership experience

What you will do:

• Expertly handle structured and unstructured data 
• Lead the design, analysis, and implementation of data models and algorithms that help shape infrastructure decisions
• Support cutting edge experimentation methodologies
• Develop subject-matter expertise in the infrastructure domain at Netflix 
• Act as a thought partner to engineering teams; understand their challenges, and make opinionated recommendations that empower them with data to efficiently scale Netflix infrastructure and tools 
• Perform data exploration to seed hypotheses and identify opportunities
• Maintain and rethink existing data solutions to service a wider variety of use cases 
• Join a stunning team of data experts with diverse skill set, and contribute to Netflix Research by developing new methodologies that could enhance our decision-making process

A few more things to know: Our culture is unique and we live by our values, so it's worth learning more about Netflix at jobs.netflix.com/culture. You will need to be comfortable working in the most agile of environments. Requirements will be vague. Iterations will be rapid. You will need to be nimble and take smart risks.