Senior Data Scientist, MNO Data
Core
Design and implement analytical methods to infer residence location and detect displacement from Mobile Network Operator (MNO) data to target aid recipients.
Role type
Senior Manager, Data Scientist (MNO Data)
Builds
Repeatable libraries of method templates for location inference and poverty estimation deployed on operator systems.
Domain
International Development / Data Science / Mobile Network Operations
Deliverable
production ML models
Required skills
Statistical analysis, method design, data privacy engineering, technical communication, workshop facilitation, privacy-enhancing technologies (PETs), data quality assessment, pseudocode specification, cross-cultural collaboration
Preferred skills
Experience with MNO data, knowledge of homomorphic encryption or private set intersection, background in randomized control trials
Technologies
Private set intersection, homomorphic encryption, pseudocode, statistical distributions
Responsibilities
Design novel analytical methods for location inference and displacement detection; Write method specifications and tests for MNO data engineers; Guide operator engineering teams through implementation; Run in-country workshops to tune parameters; Ensure data privacy and security in data sharing; Build internal training materials on data strengths and limitations.
Seniority
Senior Manager, hands-on IC with team leadership
