Job Title: Data Scientist - LATAM Telecom Location: Remote Duration: 1 year
Work closely with Mobile Operator and Telecom Infrastructure partners throughout Latin America 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 & data mining to see beyond the numbers to bring our partners actionable insights and recommendations to use for their business and network infrastructure strategies
Use network performance, coverage and other data layers to conduct gap analysis and ultimately recommend network optimization strategies and infrastructure expansion
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
BA/BS/BEng or higher degree with emphasis in electrical/network engineering, computer science, analytics, statistics, economics or equivalent degree/experience
4+ years of experience in data mining & analytics, working with clients and knowledge of data and insights
4+ years experience in RF engineering, network analytics or network planning
Experience working with large data-sets and an understanding of statistical analysis. Fluencyin SQL and scripting languages (Python preferred).
Knowledge of telecom infrastructure network principles, coverage and capacity requirements
Experience working on network performance and analytics for an operator or equipment vendor deploying or operating telecom networks
Strong interpersonal skills with experience of driving action based on data-driven insights. Ability to turn vague concepts and asks into well-documented and effective business metrics and storytelling through data insights.
Track record of operating independently, demonstrating creativity, being detail-oriented, and delivering results in a highly organized manner
Comfort working across time zones, remote teams and cultures required
Fluency in Spanish and/or Portuguese
Prior experience presenting to C-level audiences, clarifying and summarizing complex issues with actionable solutions
Prior project management experience, leading and executing multiple time-sensitive projects with partners or clients
Experience with Big Data tools (Hive, Spark, Presto, Airflow), machine learning, and GIS toolkits (e.g. ArcGIS, QGIS etc.
Ability to travel internationally, up to 30% of the time