Data Scientist at Airtel Africa

Job Title: Data Scientist

Location: Lagos

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