Job - DATA SCIENCE MANAGER
DATA SCIENCE MANAGER
IT, Harare, Zimbabwe

This position has unfortunately been suspended due to prevailing economic factors.

Position Published
18 Oct 2018
Position Updated
4 Apr 2019
Applications Suspended
119 Applications
Talent Search
In Progress
Shortlist In Progress
9 Shortlisted
Interviews Pending
1 Interviewed
Job Offer Pending
45% Complete
45%
18 Oct
22231
Applications Suspended
Search In Progress
Shortlist In Progress
Interviews Pending
Job Offer Pending
119 Applications
9 Candidates Shortlisted
1 Candidates Interviewed
45% Complete
Job Specification
Reporting Structure
Reporting To
General Manager
Supervision Of
Data Science Team
Interacts With
Staff, customers, authorities
Job Description
Deliver organizational capacity for data science through recruiting and managing appropriately skilled staff to execute on the mandate of the function
Apply and oversee the application of an array of data science algorithms and methodologies to support the development of a product portfolio that can be monetized both internally and externally
Continuously identify new data sources that can be incorporated/enhanced to improve algorithms and data science products/projects. Quantify the impact of data science projects on business profitability and KPIs
Oversee research conducted in the business unit to inform the direction of data science/algorithm development. Manage compliance and projects risks in all data science projects
Oversee the execution of a variety scientifically designed market pilots and tests in support of the deployment of data science projects. Ensure the ongoing optimization of algorithms and analytical products
Manage the data science function as a centre of excellence and best practice innovation in the organisation. Establish and manage mutually beneficial relationships with the product development and technical operations departments in the division
Ensure the measurement and tracking of divisional products and product performance
Candidate Specification
Experience
5 years
Education Level
Degree
Qualifications
actuarial sciences and/or statistics/data science
Software
Industry related
Equipment
PC
Knowledge Of
statistics/data science in a financial or telecommunications environment
Skills To
manage data science teams
Ability To
translate customer insight into new product ideas
Personality
Analytical
Organisation
Industry
IT
Culture
Progressive and corporate
Gender Profile
Mixed
Age Profile
Between 28 and 40 years of age
Terms And Conditions
Employment
Permanent
Location
Harare, Zimbabwe
Remuneration
Negotiable
This job is closed from applications.
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