Data Science Manager, XR - Zurich
Facebook
Zurich, CH
vor 15 Std.
source : DirectEmployers Association

Intro : Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together.

Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart.

Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways.

Together, we can help people build stronger communities - we're just getting started. Summary : Facebook's mission is to give people the power to build community and bring the world closer together through our family of apps and services.

we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together.

Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart.

Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways.

Together, we can help people build stronger communities - we're just getting started.We're looking for analytics leaders to work on our core products with a passion for social media to help drive informed business decisions for Facebook.

You will enjoy working with cutting edge technology, and the ability to see your insights turned into real products on a regular basis.

The perfect candidate will have a background in a technical field, will have experience working with large data stores, and will have some experience building software.

You will enjoy working with one of the richest data sets in the world, cutting edge technology, and the ability to see your insights turned into real products.

You are scrappy, focused on results, a self-starter, and have demonstrated success in using analytics to drive the understanding, progression, and user engagement of a product.

You have experience leading and growing a team of data scientists. You have a passion for mentoring members of your team to achieve strong results and continued engagement.

The perfect candidate will have experience building and managing world-class analytics teams, will have worked with large and complex data, and will have a track record of driving data-informed decisions.

Our XR Analytics organization in Zurich is focused on research and development of machine perception and immersion technologies from early concepts to production level across all of Facebook's AR / VR products and surfaces including Oculus products and Family of Apps (Facebook, Instagram, Messenger, WhatsApp).

We develop core capabilities across a range of product domains including Avatars, AR / VR remote presence / calling, AR Commerce, next generation graphics pipelines and more.

Required Skills : 1. Help build and lead a great data science team to deliver world-class products2. Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our core products3.

Partner with Product and Engineering teams to solve problems and identify trends and opportunities4. Inform, influence, support, and execute our product decisions5.

Build / maintain reports, dashboards, and metrics to monitor the performance of our products6. Manage development of data resources, gather requirements, organize sources, and support product launches while keeping the team accountable and impactful Minimum Qualifications : 7.

Experience in managing other team members in a formal or informal capacity8. Experience in quantitative analysis at a technology company, consulting, investment banking, or product management including experience with SQL or other programming languages9.

Experience initiating and driving projects to completion with minimal guidance10. Experience communicating and representing results of analysis to senior leadership11.

Experience with applied statistics or experimentation () in an industry setting Preferred Qualifications : 12. Bachelor Degree in Computer Science, Math, Physics, Engineering, or related quantitative field.

13. Understanding of statistical analysis, experience with packages, such as R, MATLAB, SPSS, SAS, Stata, etc.14. Experience with large data sets and distributed computing (Hive / Hadoop).

15. Experience with traditional or ML-based computer vision Industry : Internet

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