Data Scientist at Safaricom
February 21, 2024
Safaricom
JOB DESCRIPTION
Reporting to the Lead -Data Scientist, the Data Scientist will develop and run with data-centered projects. In keeping with this overarching aim, the data scientist will be required to outline work requirements, develop, and deliver relevant projects. The role holder will also harness their mastery of Data Science to consult on various aspects of their projects. To be successful in this position, the role holder will use data to ultimately inform and promote the company’s expansion.
RESPONSIBILITIES
Key Responsibilities:
- Collaborate with cross-functional teams to understand business needs and identify data analytics opportunities.
- Collect, clean, and preprocess large datasets from diverse sources, including telecommunications traffic, mobile money transactions, and fibre network performance data.
- Utilize cloud-based analytics tools and platforms to conduct in-depth data analyses, predictive modelling, and data visualization.
- Contribute to the development and deployment of machine learning models to enhance service offerings, optimize network performance, and improve customer satisfaction.
- Monitor and evaluate the effectiveness of data models and analytics solutions, making adjustments as necessary.
- Assist in the integration of data analytics findings into operational processes and strategic planning.
- Stay updated with the latest trends and technologies in data science, telecommunications, and cloud computing.
QUALIFICATIONS
Minimum Qualifications:
- Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- 1-2 years of experience in building data driven solutions with a bias towards machine learning.
- Proficiency in data analytics and machine learning tools (e.g., Python, R, SQL, TensorFlow, PyTorch).
- Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and their data analytics services.
- Strong understanding of data preprocessing, exploratory data analysis, and predictive modelling techniques.
- Familiarity with big data technologies (e.g., Hadoop, Spark) is an advantage.
- Excellent creative problem-solving skills and the ability to work in a fast-paced, dynamic environment.
- Strong communication skills, with the ability to translate complex technical findings into actionable business insights.
ABOUT US
We are the leading telecommunication company in East Africa. Our purpose is to transform lives by connecting people to people, people to opportunities and people to information. We keep over 42 million customers connected and play a critical role in the society, supporting over one million jobs both directly and indirectly while our total economic value was estimated at KES 362 Billion ($ 3.2 billion) for the 12 months through March 2021. We are listed on the Nairobi Securities Exchange (NSE) and with annual revenues of close to KES 298 Billion ($2.5 billion) as at March 2022. We were founded in 1997 as a fully owned subsidiary of Telkom Kenya before a 40 percent acquisition by Vodafone Group PLC in May 2000, and a public offering of 25 percent shares through the NSE in 2008. Under the management of Vodafone Group PLC, we welcomed Michael Joseph, as our first CEO, a few months later in July of 2000. He led the company’s growth to accommodate 16.71 million subscribers from the previous 20,000, largely owing to innovative products like M-PESA in 2007.
Interested applicants can apply via this link.
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