Facebook Data Science Strategist, Connectivity Analytics in Paris, France
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.
Facebook Connectivity's mission is bringing more people online to a faster Internet. Together, with hundreds of partners across dozens of countries, Facebook is working to help overcome the global Internet connectivity challenges of accessibility, affordability and awareness. Our products already serve hundreds of millions of people and drive substantial impact.
Deciding the optimal way to invest in network and product improvements is costly and time consuming. Connectivity Analytics can help our partners identify areas of opportunity across their products and networks, and plan strategically. We've developed innovative business tools to help our partners monitor and improve their existing products and networks and create more engaging customer experiences.
Facebook Mobile and Connectivity Partnerships is seeking an individual who is passionate about connecting our global community to help build and scale the Analytics and Network Planning products (https://connectivity.fb.com/analytics/) aimed at our Mobile Operator and Telecommunications partners in EMEA.
Successful candidates will have a strong technical & data mining skillset, as well as client-facing experience — and enjoy the balance of both. You will engage with key partners on all levels including C-suite, delivering strategic business value from our insights products/data as part of unique partnership. At the same time you can be scrappy, focused on results, are a self-starter and have demonstrated success in using analytics to drive the growth and success of a business.
This is a full time role based in Paris.
Competitive Salary including the following benefits apply:
Posted: June 4th 2019
Closing date: July 2nd 2019
Work closely with Mobile Operator and Telecom Infrastructure partners around EMEA to understand their business needs and challenges and deliver value to them through insights.
Apply your expertise in quantitative business and/or network performance analysis & data mining to see beyond the numbers to bring our partners actionable insights and recommendations to use for their business and network infrastructure strategies.
Partner cross-functionally with the product development and Data Science Engineering teams to access & understand the tools and data sets and the client sales team for media implementation strategies.
Leverage tools for data analytics (e.g. SQL, R, python), visualization (e.g. Tableau) and mapping (e.g. GIS) to conduct analysis, produce charts/graphs and reports/slide decks in support of partner/internal engagements.
Feed success & learning back to the product team to inform, influence and support our Insights product roadmap.
BA/BS/BEng or higher degree in electrical/network engineering, computer science, statistics, economics, maths, physics or other quantitative discipline, or equivalent degree/experience.
Experience in quantitative analysis, focused on goal driven optimization of large scale problems.
Experience working with large data-sets and excellent data mining skills. Statistical analysis understanding is required. Fluency in SQL or other data programming languages.
Project management experience, with the ability to lead and execute multiple time-sensitive projects with partners.
Strong communication and presentation skills, and the ability to clarify and summarize complex issues for C-levels.
Strong interpersonal skills with demonstrated ability of inspiring action based on data-driven insights. Ability to turn vague concepts and asks into well-documented and effective business metrics and insights and storytelling through data insights.
Track record of operating independently, demonstrating creativity, being detail-oriented, and delivering results in a highly organized manner. Demonstrable leadership and self-starter.
Ability to travel internationally, up to 40% of the time. Comfort working across time zones, remote teams and cultures required.