Senior Data Scientist - Centurion at Right to Care

Description
Key Perfomance Areas

• Technical leadership in the evaluation and analysis of diverse HIV program data within RTC programs, including deep dive analysis of EMR patient data,
• Triangulation of disparate data sources (both routine and non-routine),
• Development and strategy of the data analytics portfolio in line with donor and business objectives, and lead peer reviewed publications.
• Responsible for designing new analytics methodology, strategizing on how to better utilize data within the organization.
• Support the development of standardised analytic products to support the Funder missions.
• Support design and development of routine and ad hoc data analytics and information products to support IPs and Funder missions in performance management.
• Lead, write, perform analysis, and collaborate on research papers.

Requirements
Required minimum education

• Candidates must have a Masters in Public Health, Informatics, Biostatistics, Statistics, Demography or equivalent education and work experience.
• Strong analytic and quantitative aptitude, including an understanding of data science and informatics.
• Experience with managing large data projects, including integrating and analysing multiple datasets and developing customized reporting.
• Have published peer reviewed journal articles
• Must be computer literate and must be able to use Windows, MS Office, PowerPoint, and Excel as well as statistical analytical packages and a knowledge base of data manipulation with R, Python etc.
• Experience with business intelligence visualisation software like PowerBI, QlikSense, Tableau etc.
• Experience using messy data to mine relevant insights to improve program performance.

Required minimum experience

• At least 5 years of experience in data analytics of public health data, including HIV/AIDS and TB related data.
• At least 5 years of progressive responsibility in managing teams and projects.
• Statistical background in witing and publishing manuscripts
• Experience creating compelling and meaningful visualization and reports displaying programme, health quality and cost information for a wide range of audiences, including health providers, implementers and executive management.

Desirable education & experience

• Experience in data analytics and machine learning
• Experience in and working knowledge of PEPFAR/ USAID and District Health Information Systems and PEPFAR/ USAID reporting systems (DHIS, DATIM and other patient level systems)
• Demonstrated success in delivering a data science project that impacted program performance.
• A minimum of 7 years’ experience in mixed-methods data analytics and complex project management.