Partner Data Scientist, Telco Partnerships

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. Whether we're creating new products or helping a small business expand its reach, people at Meta 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.

Telco Partnerships is seeking an individual who is interested in 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 Telecommunication partners throughout EMEA (Europe, Middle East, and Africa) 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 (Structured Query Language), Python, R) and visualization (e.g. Tableau) to conduct analysis, produce charts/graphs and reports/slide decks in support of partner engagements

Travel Requirement up to 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 using AI to develop analysis and generate code, deck materials, and prototypes

Experience in quantitative analysis, focused on goal focused 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 deadline driven projects with partners

Effective communication and presentation skills

Experience in clarifying and summarizing complex issues for C-level executives

Experience of driving action based on data focused insights

Track record of making data-informed decisions with incomplete information and delivering structured, well-documented outcomes

Experience using data insights and metrics to drive impact and action

Preferred Qualifications

Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Experience working with a mobile operator, marketing/commercial strategy organization or third party vendor/consultancy on business strategy, analytics or network performance

Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

Experience working with or building analytics products, interfacing with both product teams and end users

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 with Big Data tools (Hive, Spark, Presto, Airflow), machine learning, Tableau and GIS toolkits (e.g. ArcGIS, QGIS etc.)