• Application Deadline:
• Position: Data Science Senior Manager (Lagos)


• Job Type Remote


• Qualification BA/BSc/HND


• Experience 3 - 10 years


• Location Lagos


• Job Field Data Science / Research  , Project Management 
  

The Data Science Senior Manager provides leadership and support to the Data Science team. He/She ensures synergy in operations and delivery within the team. The Data Science Senior Manager provides all the necessary help required in building AI/ML models for automating processes, reducing costs and increasing revenues of a modern health-tech organization.

Responsibilities:

• Lead and coach the data science team


• Develop and implement the data science strategy.


• Communicate strategy and analytic results in an actionable and non-technical manner to department leaders


• Support in extracting both complex structured and unstructured data sets from internal and external sources and making sense of this data.


• Collaborate with other divisions in data management and extraction of insights


• Builds AI/ML models to automate different enterprise processes such as claim and provider management, customer acquisition, engagement retention, customer support, and finance and human resource functions


• Drive data quality throughout the company


• Provide key actionable insights to management


• Use data to estimate provider quality of care

Requirements

• Minimum 10 years of experience as a data scientist, with particular focus on machine learning and NLP.


• Tertiary education from a recognised institution, in a quantitative field. A Master's degree is preferred.


• Minimum of 3 years managerial experience


• Experience with analytics software tools or languages (R, Python, etc.) and machine learning techniques is a must


• Working knowledge of visualization platforms and customization (Power BI, Tableau etc) is a must


• Must be a highly analytical individual with a strong grasp of modern statistical methods


• Experience with full lifecycle data science projects is a must


• Experience with medical data is an added advantage


• Ability to work independently in a fast-paced environment


• Excellent oral and written communication skills