Job description
Qualifications
Undergraduate degree in Maths, Statistics, Physics, Engineering or eqiuivelent
2 – 4 years of professional experience in programming; experience applied to business problems is a plus
Programming (focus on Machine Learning) R and/or Python (must), SPSS, SAS, Ruby, Hadoop (valued)
Data treatment/Data mining SQL, AWK, Access, Spark, Excel (valued)
Statistical knowledge is a plus
Demonstrated aptitude for analytics
Proven record of leadership in a work setting and/or through extracurricular activities
Ability to work collaboratively in a team environment and effectively with people at all levels in an organization
Ability to communicate complex ideas effectively – both verbally and in writing – in English
Additional languages is a plus
Who You’ll Work With
You’ll work with our Advanced Analytics team in Nairobi, Kenya. This global practice supports clients in many different industries facing challenges of developing and implementing tailored concepts for prediction and prescription amongst others.
What You’ll Do
You will focus on the development of Advanced Analytics models to optimize underlying business problems.
As a Data Scientist, you will shape the future of what data-driven organizations look like, drive processes for extracting and using that data in creative ways, and create new lines of thinking within an infinite number of clients and situations.
You will create valuable, transformative business strategies through the measurement, manipulation, reporting, and dissemination of broad sets of data. You will apply and advise on state-of-the-art advanced analytic and quantitative tools and modeling techniques in order to derive business insights, solve complex business problems and improve decisions. You will review, support and advise on the day-to-day analytics requirements of clients’ key operational processes while continually improving the impact of these processes.
