Sydani Initiative for International Development is a management consulting firm based in Abuja, Nigeria. With our team of experienced management consultants, we design, deploy, monitor and evaluate impactful programs and interventions to improve the health and social sectors in Nigeria and globally.
Key Responsibilities
- Data mining or extracting usable data from valuable data sources
- Use machine learning tools to select features, create and optimize classifiers
- Carry out pre-processing of structured and unstructured data
- Enhance data collection procedures to include all relevant information for developing analytic systems
- Presenting information using data visualization techniques
- Process, cleansing, and validating the integrity of data to be used for analysis
- Analyze complex datasets using advanced statistical methods Develop and design appropriate research methodology for projects
- Present results in a professional and statistically acceptable standards
Requirements
- Minimum four years of experience as a Biostatistician, Statistician, Data Scientist or Data Analyst
- Experience in analyzing survey datasets such as NDHS, MICS, IPUMS, etc.
- Understanding of machine-learning and operations research
- Knowledge of SPSS, STATA, R, SQL, Power BI and Python. Most preferably STATA and R software. Familiarity with Scala, Java or C++ is an asset
- Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
- Skillful in report writing with at least three (3) publications in peer- reviewed journals as evidence
- Proficiency in making presentations
- MSc., BSc., in Biostatistics, Statistics, Computer Science, Engineering or relevant field
- MSc in Biostatistics, Statistics, Computer Science, Data Science or another quantitative field is preferred
- Analytical mindset and research experience
- Strong Mathematics, Econometrics and Modelling skills (e.g. statistics, algebra)
- Problem-solving aptitude
Basic Skills
- Strong Mathematical modelling expertise
- Strong Statistical and Spatial Analysis
- Ability to interpret data analyses.
- Experienced with high - level research and publications in peer reviewed journals
- Skillful in using any of the software: R, STATA, SPSS, Python, Machine Learning
Method of Application
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