Position Purpose : The Data Science Manager has a practical knowledge and comprehensive understanding of research processes and techniques, most likely gained through on-
the-job experience. The Data Science Manager must be able to actively assist in the production process, from Designing of the sample and survey, advice on implementation in field, monthly production and extrapolations to final Client delivery.
Client consultations with regards to data quality and coverages will also be required. Accountability : Accountable to Executives, Account Managers, Operations and Clients.
Experience & Qualifications : Tertiary qualification - Statistics / Mathematics 5 years or more experience in a Data Science role within a research environment essential Senior level experience in a Data Science Role Previous managerial experience Skills / Requirements for the position : Meticulous attention to detail Ability to work under pressure Ability to prioritise, multitask and meet deadlines Self-
motivator Team player Couching and developing of Operational members Proficiency with MS Office packages good Excel Knowledge required i.
e. pivot tables and charts Presentable, passionate and energetic Solid and extensive knowledge of the research process Review work of others and is able to offer new insights and add strategic value.
Engenders confidence in colleagues and clients. Business acumen Good people management skills (Including conflict resolution skills) Excellent interpersonal skills Willingness to travel Key Performance Indicators : Data Science Manager Designing of adequate samples, methodologies and Universe for new Projects.
Evaluate current universe and sample designs and make recommendations. Provide guidance to the business on way of improving current products.
Drive the development of key strategies which will improve data collection, data quality and data processing. Assist with complex data investigations and analysis.
Provide expert technical consultations with relevant departments to solve Data-related issues. Provide guidance to the correct use of reported data.
Assist with design of additional checks on the FLM system to validate accuracy of fieldwork. Set up of additional methods using statistics to speed up the validation process.
Assist with design of additional checks on the FLM system to create effective validations in the production system. Assist with designing more efficient production process through the use of statistics.
General Management Positive contribution to leadership executive team Team development and management Training and career development of team members Succession Planning Product Quality / Service / Safety / Liability : Responsibility rests with the incumbent to ensure that the company’s liability is protected in respect of quality service delivered within the given time-
frame, meeting the client’s expectations. Send a detailed copy of your CV to Bonita ((email address) replace the AT with )Should you not be contacted within 7 days, please consider your application as unsuccessful.