Data Science Strategist Mobile Partnerships Facebook London

Job Description: • 2-minute read •
The Data Science Strategist will have the opportunity to implement cutting-edge business insights for Europe's largest mobile network operators by leveraging one of the world’s largest and richest data sets. You will provide a vital bridge, working intimately with the client to bring them strategic business value from our Insights products/data as part of a unique partnership. In addition to working directly with the partner, you will partner cross-functionally within Facebook, including the product, data science, and client sales team.

The ideal candidate will be passionate about Facebook. You will have strong technical & data mining, as well as client-facing experience—and enjoy both. You will have a background in a related quantitative or technical field, have experience working with large data sets, be a great communicator and have experience in data-driven decision making. You should also be scrappy, focused on results, be a self-starter and have demonstrated success in using analytics to drive the growth and success of a business. This position is located in our London office.
Responsibilities

Work closely with the partner to understand their business needs and challenges and deliver value to them through insights
Apply your expertise in quantitative business analysis & data mining to see beyond the numbers to bring the client actionable insights and recommendations to use for their business strategies
Partner cross-functionally with the product development team and Data Science Engineering to access & understand the tools and data sets and the client sales team for media implementation strategies
Feed success & learning back to the product team to inform, influence and support our Insights product roadmap
Requirements

5+ years of relevant experience—data mining & analytics, working with clients and a love of data and insights
Advanced degree in psychology, statistics, economics, behavioral or social science or a related quantitative field preferred (advanced degrees may count as relevant experience)
Ability to turn vague concepts and asks into well-documented and effective business metrics and insights
Strong interpersonal skills with demonstrated ability of inspiring action based on data-driven insights
Excellent data mining skills. Statistical analysis understanding is required
Experience in a client/external facing position
Track record of operating independently, demonstrating creativity, being detail-oriented, and delivering results in a highly organized manner
Experience working with large data-sets
Fluency in SQL or other programming languages
Some development experience in at least one scripting language (PHP, Python, Perl, etc…) is a plus
Previous experience working with mobile network operators or in the mobile sector is a plus

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