Business Unit

Bank of Kigali Digital factory

Key Accountabilities

• Conducts advanced statistical analysis to provide actionable insights, identify trends, and measure performance
• Understands business problems and designs end-to-end analytics use cases
• Ability to work with senior technologists and Business leaders providing technical guidance related to data architecture, data models and meta data management
• Interacts with the Business divisions to understand all data requirements to develop business insights and translates them into data structures and data model requirements to IT
• Works closely with database teams on topics related to data requirements, cleanliness, accuracy etc.,
• Creates and modifies computer programs to extract information from company databases

Experience

• 5-7 years’ experience in a statistical and/or data science role
• Experience working with large data sets, simulation/ optimization and distributed computing tools
• Experience in working with large datasets, relational databases (SQL), and distributed systems (Hadoop, Hive)
• Experience Proficiency in R and/or SAS; additional knowledge of other statistical software (SPSS, RapidMiner, etc.) helpful

Purpose of the job

• Primary responsibility is to define data lifecycle, including data models and data sources for analytics platform, gathering data from business and cleaning them in order to provide ready-to-work inputs for Data Scientists
• Apply strong expertise in machine-learning, data mining, and information retrieval to design, prototype, and build the next-generation analytics engines and services

Qualifications

• MS/PhD in computer science, statistics, or operations research or related technical discipline
• Undergraduate degree in relevant fields with the minimum of 2 years of working experience in data science

Knowledge

• Deep knowledge of machine learning, statistics, optimization or related field
• Experience with R, Python, Matlab is required, programming in C, C++, Java
• Knowledge of computing tools (Map/Reduce, Hadoop, Hive, Spark, Gurobi, Arena, etc.)
• Advanced knowledge of statistical techniques, data mining, machine learning (regression, decision trees, clustering, random forests, generalized linear models, etc.)
• Attitude to thrive in a fun, fast-paced start-up like environment

Expression of Interest

Submit your CV and portfolio to digitalrecruiting@bk.rw by 30 November 2018