The African Population and Health Research Center (APHRC) is leading Africa-based, African-led, international research institution headquartered in Nairobi, Kenya, and conducting policy-relevant research on population, health, education, urbanization and related development issues on the continent.
Read more about this company
Data Scientist (Data Science and Evaluation Theme)
PhD in data science, applied mathematics, computational science and engineering, applied statistics or other related field. A master’s degree in any of the following mathematics, statistics or computer science.
A minimum of seven years of professional experience in data analytics, computer science or statistics; with at least one-year’s postdoctoral experience.
Programming skills. Knowledge of statistical programming languages like R, Python, and database query languages like SQL, Oracle, Hive, Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage.
Statistics. Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for datadriven activities.
Machine learning. Good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests is essential
Strong math skills (Multivariable Calculus and Linear Algebra) to support predictive performance or algorithm optimization techniques.
Data wrangling. Proficiency in handling imperfections in data is a critical aspect of this role.
Experience with data visualization tools like R shiny, matplotlib, ggplot, d3.js.ArcGIS, QGIS, PowerBi, Excel, Tableau to visually encode data and generation of dashboards for interpretation.
Good communication skills to describe findings to both technical and non-technical audiences.
Excellent problem-solving skills, has attention to detail and a strong analytical mind.
Demonstrates ability to work both independently and to work collaboratively with internal and external team members, and stakeholders.
Ability to multi-task, work accurately and effectively to deadlines; has good self-assessment of timing of tasks and ability to set deadlines; have organizational and time management skills to manage and prioritize workload.
Demonstrate an appreciation of technical and analytic challenges, and learning new approaches and topics.
Gmail
Yahoomail