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Partner Data Scientist, Growth Partnerships


Job details
  • META
  • London
  • 3 weeks ago
Applications closed

Partner Data Scientist, Growth Partnerships

Making sure you fit the guidelines as an applicant for this role is essential, please read the below carefully.

Location: London, UK

Meta'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. Growth Partnerships is seeking an individual who is passionate about connecting our global community to help build and scale the Analytics products and services aimed at our mobile, fixed wireless, and broadband partners in EMEA.Responsibilities

Work closely with strategic Telecommunication partners throughout EMEA to understand their business needs and challenges, and deliver value to them through insights.Apply your knowledge in quantitative business and/or network performance analysis/planning & data mining to bring our partners actionable insights and recommendations to use for their business and network infrastructure strategies.Use market intelligence such as market share, acquisition, network performance, coverage and other data layers to conduct gap and opportunity analyses and recommend business and network optimization strategies.Develop business casing and analytics support to grow and sustain our growth programs, develop the analytics strategy with the partners and analyse the performance of new pilots.Leverage tools for data analytics (e.g. SQL, Python, R) and visualization (e.g. Tableau) to conduct analysis, produce charts/graphs and reports/slide decks in support of partner engagements.Travel Requirement of 40%.Minimum Qualifications

BA/BS/BEng or higher degree with emphasis in either business and marketing, computer science, analytics, statistics, economics or equivalent degree/experience.Experience in data science & analytics, working with clients and knowledge of data and insights.Experience in quantitative analysis, focused on goal driven business optimization problems in tech/telco space.Experience working with large data-sets and an understanding of statistical analysis. Fluency in SQL and scripting languages (Python is preferable).Project management experience, and experience of leading and executing multiple time-sensitive projects with partners.Effective communication and presentation skills.Experience in clarifying and summarizing complex issues for C-levels.Experience of driving action based on data-driven insights.Track record of operating independently, making decisions with uncertainty, demonstrating creativity, being detail-oriented, and delivering results in a highly organized manner.Experience using data insights and metrics to drive impact and action.Preferred Qualifications

Knowledge of telecom business products, subscription based business models, their marketing and commercialisation and/or infrastructure network principles, such as coverage and capacity requirements.Experience working with a mobile operator, marketing/commercial strategy organization or third party vendor/consultancy on business strategy, analytics or network performance.Experience working with or building analytics products, interfacing with both product teams and end users.Experience with Big Data tools (Hive, Spark, Presto, Airflow), machine learning, and GIS toolkits (e.g. ArcGIS, QGIS etc.).About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.Equal Employment Opportunity and Affirmative Action Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

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