Data Scientist at Airtel Africa

What Will You Do?

  • If you are passionate about building, owning and operating massively scalable systems and experienced in being in a team of highly competent software engineers impacting millions of lives around you, here is an opportunity tailored for you.
  • This job is responsible for extracting, analyzing and interpreting large amounts of data from a range of sources, using algorithmic, data mining, artificial intelligence, machine learning and statistical tools, in order to make it accessible to Airtel Business and its various LOBs.
  • This requires that the candidate should have right combination of technical, analytical and communication skills.

Key Accountabilities

  • Identifying the data-analytics problems that offer the greatest opportunities to the organization
  • Determining the correct data sets and variables
  • Collecting large sets of structured and unstructured data from disparate sources
  • Cleaning and validating the data to ensure accuracy, completeness, and uniformity
  • Devising and applying models and algorithms to mine the stores of big data
  • Analyzing the data to identify patterns and trends
  • Interpreting the data to discover solutions and opportunities
  • Communicating findings to stakeholders using visualization and other means

What Will Make You Successful?

  • Bachelor’s degree in Computer science, Social sciences, Physical sciences, and Statistics
  • Master’s degree in Data science, Mathematics, Astrophysics or any other related field (Add on)
  • Excellent analytical and problem-solving skills
  • Experience in database interrogation and analysis tools such as Hadoop, SQL and SAS.
  • In depth knowledge of data analytical tools, preferably R Programming.
  • Python, Java, Perl, or C/C++ coding expertise
  • Sql/Database coding expertise.
  • Knowledge of working on Apache Spark
  • Experience on Data Visualization tools like ggplot, d3.js and Matplottlib, and Tableau or any other.
  • Should have Machine Learning and AI skills.
  • Exceptional communication and presentation skills in order to explain your work to people who don’t understand the mechanics behind data analysis
  • Effective listening skills in order to understand the requirements of the business
  • Drive and the resilience to try new ideas if the first one doesn’t work – you’ll be expected to work with minimal supervision, so it’s important that you’re able to motivate yourself
  • Planning, time management and organizational skills
  • Ability to deliver under pressure and to tight deadlines
  • Great attention to detail
  • Team working skills and a collaborative approach to sharing ideas and finding solutions.

Application Closing Date
Not Specified.

How to Apply
Interested and qualified candidates should:
Click here to apply online

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