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We are pleased to announce the following opportunity in the Big Data and Business Analytics Department within the Business and Development Division. In keeping with our current business needs, we are looking for persons who meets the criteria indicated below.
Reporting to the Head of Big Data & Business Analytics, the position holder will lead the data science team to create value from Safaricom’s vast amount and variety of data using advance analytical and statistical methods and models to answer complex business questions. This will serve to aid in decision making, unlock new revenue opportunities and areas to create efficiency through deep insights. The role requires deployment of Artificial Intelligence driven by Safaricom’s data to create Machine learning models and solutions to deliver specific business relevant use cases. Safaricom is investing heavily in big data and this will be a truly exciting role in view of the organization’s unique data set and position in this region.
Data mining using state-of-the-art methods
Selecting features, building and optimizing classifiers using machine learning techniques
Processing, cleansing, and verifying the integrity of data used for analysis
Collaborate with business units and engineering teams to understand and prioritize company needs and devise possible solutions based on business use cases
Create various machine learning-based tools or processes within the company, such as recommendation engines or automated lead scoring systems to drive revenue or create cost efficiencies
Create visualizations using state of the art visualization tools
Lead and manage data science team
BSC. or MS. in Computer Science, Statistics, Mathematics or equivalent practical experience
5 – 8 years data science working experience and with a leadership role.
Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests
Experience with common data science toolkits, such as R, Weka, NumPy, MatLab
Experience with data visualization tools, such as D3.js, GGplot
Experience with NoSQL databases, such as MongoDB, Cassandra, HBase
Good applied statistics skills, such as distributions, statistical testing, regression
Good scripting and programming skills
Good understanding of big data technologies like Hadoop
Strong communications and interpersonal skills and quick grasps to understand business problems
How To Apply:
As part of our recruitment process we will request the below documentation which will be required as soft copies at a later stage of the process.
An updated CV with a confirmation of three referees- 2 must be professional and must have supervised you at some point, the other referee can be a colleague in the same professional field. If the referees are within the same organization that you are working with, you will need to confirm to us that it’s okay to contact them in writing (via email). This also includes all references within the Human Resources department.
Scanned copy of certificate of good conduct from the CID (Less than 1 year old) – Applicable to Kenyans Only
Scanned copy of certificate from Credit Reference Bureau (CRB) – Applicable to Kenyans Only
Scanned copy of University Certificate or letter from the University requesting for internship
Scanned copy of your National ID / Passport – Legal Form of Identification