Data Scientist - Sandton, South Africa - Bright City Talent

Bright City Talent
Bright City Talent
Verified Company
Sandton, South Africa

1 month ago

Thabo Mthembu

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Thabo Mthembu

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Description

The DATA SCIENTIST/ ENGINEER will form part of one of the global Data & Analytics (D&A) market teams based in South Africa.

The Data Scientist will be responsible for turning raw data into actionable insights for the business through:
Understanding business problems and how to deliver relevant insights to solve problems


Gathering data and building data-science and algorithmic solutions to address business problems requiring descriptive, diagnostic, predictive, and / or prescriptive analytics.


Creating experimentation to solve complex business problems and deliver predictions on future business outcomes in a repeatable and relevant way.

Supporting product teams scaling models into low-touch solutions to provide optimal ROI from data science.


Identify common themes to build repeatable models and partner with leadership to support 4G growth though data and analytics, and / or advance the next phase of NRM.

Position analytics as a tradable "currency" with customers to gain competitive advantage.

Drive new value from insights from connecting external and internal data sources.

Innovate new data and analytic methodologies driven by local needs which feed into D&A's global product pipeline.

Integrate data engineering and science practices ensuring robust and informed decision-making for our stakeholders.

This role would suit a Data Scientist or Engineer who is passionate about making data insightful.

Someone with a Science degree in Computer Science, Statistics, Engineering, or Mathematics with about 3-5 years experience in a data science role working with large volumes of unstructured data.


Required is a working knowledge of:

  • Common machine learning techniques such as Random Forests, Boosting, Regularized Regression, Naïve Bayes Classifiers
  • Advanced machine learning such as Deep Neural Networks, Support vector machines, Reinforcement learning and Bayesian networks
  • Classical statistics (Regression, Clustering, Optimization, Time Series, Probability
  • Microsoft Azure and scaling analytic products over GPUs in the cloud

Deep experience in:

  • Testing and measurement (A/B, multivariate, inferential measurement e.g. Causal Impact)

Traits:
- collaborative
- passionate about high performance
- consistently looking for ways to improve and interpret data smartly
- agile.

This role can be based in Sandton (Gauteng) or Umhlanga (KZN).
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