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Data Engineers (Expiration 30/11/2018)

Business UnitBank 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
  • 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
  • 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
  • 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 InterestSubmit your CV and portfolio to digitalrecruiting@bk.rw by 30 November 2018
Référence :
Contrat :
Poste(s) disponible(s) :
Expérience :
5 ans
Niveau d'étude :
Lieu de travail :
Kigali - RWANDA
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