JOBS: Data Scientist at Safaricom Kenya
Safaricom is the leading provider of converged communication solutions in Kenya. In addition to providing a broad range of first-class products and services for Telephony, Broadband Internet, and Financial Services, Safaricom seeks to uplift the welfare of Kenyans through value-added services and support for community projects.
Leah Mukangai 
DESCRIPTION
We are pleased to announce the following vacancy for Data Scientist in the Digital IT Department within Technology Division. In keeping with our current business needs, we are looking for a person who meets the criteria indicated below.
Detailed Description
Reporting to the Lead - Data Scientist, the position holder will be required to outline work requirements, coach, mentor, and assign tasks to junior staff on a project basis and monitor performance within the team. He/ She should also harness their mastery of Data Science to consult on various aspects of these and other projects.
To be successful in this position, one should use data to ultimately inform and promote the company's expansion. This position will assume a prominent role in the development of junior staff and upcoming talent.
Responsibilities
- Formulating, suggesting, and managing data-driven projects which are geared at furthering the business's interests.
- Collating and cleaning data from various entities for use on various data science-related tasks.
- Delegating tasks to Junior Data Scientists in order to realize the successful completion of projects.
- Mentoring, coaching, and supervision of Junior Data Scientists and providing them with practical guidance, as needed.
- Selecting and employing advanced statistical and or machine learning techniques and procedures to obtain actionable insights.
- Validating models to ensure their generalizability.
- Producing and disseminating both technical and non-technical reports that detail the successes, and limitations of each project.
- Suggesting ways in which insights obtained might be used to inform business strategies.
- Staying informed about developments in Data Science and adjacent fields to ensure that outputs are always relevant.
QUALIFICATIONS
- Degree in Statistics, Mathematics, Actuarial science, Economics & Statistics, Computer science, or any quantitative degree.
- At least two years of experience as a data scientist, and at least 1 years of experience in a data-related field.
- In-depth understanding of SQL.
- Proficiency in Python and/or R and data visualization techniques.
- Familiarity with Spark will be an added advantage.
- Competent in machine learning principles and techniques.
- Strong skills in experimental design techniques and execution will be highly desirable.
- Strong problem-solving skills with an emphasis on product development.
- Demonstrable history of devising and overseeing data-centered projects.
- Excellent written, verbal, and presentation skills. Ability to relay insights in layman's terms, such that these can be used to inform business decisions.
- Drive to learn and master new technologies and techniques.
- Outstanding supervision and mentorship abilities.
