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Lead Data Scientist (2210)
Job Ref
280597
Job Type
Permanent
Employer Type
Recruitment Agency
Date Added
22 Oct 2018
Expiry Date 6 Dec 2018
Expiry Date 6 Dec 2018
* There have been no applications to this job.
* This job has been viewed 1792 times.
Employer:
TriTec Talent
Location:
South Africa
Salary:
Negotiable
Benefits:
Role details:
- - - - - - - - - - - - - -
RoleDescriptionLead Data Scientist Permanent Northern Suburbs Purpose of the role: The purpose of this positionwill be to lead a fast-growing and rapidly innovating team by building our next generation productsand solutions using machine learning. As lead, you will help define the roadmap and together withthe rest of the analytical team be responsible for modelling and delivery of all machine learningsolutions to businesses. This includes a diverse range of needs covering areas like supply chain,store operations and customer-focused solutions. A typical week would comprise of brainstorming withproduct teams on next-generation features, prototyping models and improving model features,collaborating with partners and working with our data science academy interns with a focus ondeveloping a next generation of innovators. This position will head up a team of data scientists andanalysts and will also oversee a learning academy of younger employees within the business. JobObjectives Leadership Collaboration Innovation Manage Talent Development
Skills and Experience
Requirements 4 year Degree/Diploma or equivalent will be essential Masters or PhD in aquantitative discipline like Computer Science (with focus on Machine Learning, ArtificialIntelligence), Statistics, Math Neuroscience, Operations Research or Physics) will be advantageous. It will be advantageous for the candidate to have at least 3 -5 years experience in the following: Customer and/or retail analysis Customer and/or retail data mining and deploying models in anoperational environment It will be important for the candidate to have a working knowledge of thefollowing: Business/Systems Analysis Data Analysis Statistical Analysis and Exploitation Thejob-related skills required for this role are as follows: Quantitative experience with largedata-sets, from prototyping to business impact Deep understanding of machine learning andstatistical methods with their underlying theory and math. Demonstrated work in building, deployingand demonstrating business value from predictive models and data products Email: Leigh.Duffield@eoh.co.za