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Our client is a leading ICT solutions provider delivering a wide range of world class technological solutions. The company was founded to provide innovative, secure, and high-tech solution in Africa and beyond.
Staying ahead through constant research and innovation. They are looking for a Lead Data Scientist to span across the data spectrum, encompassing areas such as data engineering, data insight, data mining & clean up, data visualization
and data analysis towards the development of custom data products and services.


. Evangelizing the company’s BI analytics, solutions and services in various forums including closing leads and generating revenue.
. Keep the management team informed of the latest advances, best practices and insights on BI analytics.
. Full understanding of the Healthcare space Data driven decision & value – to lead development of insightful, interactive and intuitive-innovative data visualizations.
. Deliver Value & insight from understanding, mining & integrating of Smart Data.
. Uphold privacy on the Company data laws and clinical data including processes/standards on patient data confidentiality.
. Perform routine business analysis using various techniques e.g. Statistical analysis, explanatory and predictive modeling, data mining.
. Champion Analysis of data, interpretation of findings, and communication of insights.
. Lead in Identifying, designing, and test data-driven hypotheses.
. Must drive “Data is gold” initiative by periodically Informing and advising the business on market approach value propositions from available data.
. Champion and drive initiatives to improve available data that will realize tangible output for the business e.g. Data warehousing and integration, quality of data.
. Research best practices and supports developing the solutions and recommendations for the current business operations.
. Work with internal and external client to identify analytical requirements.
. Participation in internal and client facing kick-off meetings to plan key milestones/meetings, confirm deliverable expectations, and clarify contractual obligations.
. Spearhead realization of Commercialization for Data Analytics.
. Initiate and take responsibility in execution of departmental SLA with other stakeholders, Formulate, document and disseminate departmental operational manuals as per company guidelines.
. Facilitate operational cost savings through proper planning, accountability and distribution of tasks.
. Lead the team in innovations targeted in achieving e.g predictive analytics, AI, Machine learning etc for both internal & external system.
. Ability to work under tight deadlines, heavy workloads and remain calm under pressure with a high degree of individual responsibility.


. Bachelor’s degree in Engineering, Computer Science, Statistics, Mathematics or equivalent.
. A minimum of 5 (Five) years previous working experience as a data Scientist with at least 2 years in the managerial position.
. Strong skills in mathematics and/or statistical analysis.
. Experience with Python (in particular data analysis and machine learning libraries) or R.
. Experience with SQL dialects (eg. MySQL, PostGreSQL, Oracle DB,)
. Have broad knowledge and understanding of healthcare data, services & medical guidelines
. Have prior experience in using electronic medical records systems.
. Experience in solving complex data problems.
. Ability to work across both technical and business portfolios.
. Some experience with Machine Learning.
. Advanced data processing, management, and associated technical skills
. Some experience with Dev-ops in a Linux environment eg. cron job management, test automation.


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