Senior Data Scientist (Full Stack) Pretoria IT ~ Project Management Pretoria - Gauteng Senior Data Scientist (Full Stack) Pretoria- Salary: Market related Job Purpose Reporting to the Chief Digital Officer, the incumbent will be responsible for the application of data science and advanced quantitative methods, which include machine learning, deep learning, artificial intelligence, predictive analytics to enable key strategic, tactical, and operational use-cases for the purpose of the driving the broader data science programme - as per the company Digital Strategic Framework.
Responsible for the end-to-end data lifecycle from strategic planning, data collection, through monitoring, evaluation, and incremental improvement.
Minimum Requirements: Honours Degree in Statistics, Mathematics, Applied Mathematics, Physics, Econometrics, Actuarial Science or equivalent experience Masters in Statistics, Mathematics, Applied Mathematics, Physics, Econometrics, an advantage 6+ years data science and analysis experience Team management/leadership experience Project Management (classic and agile) experience Proficient in Python, R, and database technologies Valid Drivers License.
Advanced working Python knowledge and experience working with relational databases, query authoring Python as well as working familiarity with a variety of databases.
Experience supporting and working with cross-functional teams in a dynamic environment Experience cleaning and integrating multiple data sources to support analytics Responsibilities: Support the Chief Digital Officer and Senior Data Architect using a variety of state-of-the-art cloud-based technologies to solve data analysis and prediction problems.
Identify and act on new opportunities for data driven business in data science and analytics.
Recognise when existing solutions can be generalised to solve new problems and address new data-as-a-service verticals Work in a collaborative environment developing data science methods, tools, and algorithms to solve problems.
Become fluent in analytical modelling using the companys internal data modelling platforms and tool.
Continuously learn and apply latest and fit-for-purpose, open-source and proprietary tools and technologies to achieve results, including some or all the following: Cloud Microsoft Azure (must) AWS Google Cloud Big Data Mondodb Hadoop Cassandra Machine Learning Kubeflow Tensorflow PyTorch Business Intelligence/Analytics and visualisation Microsoft PowerBi (must) Microsoft Excel (must) Google Charts Languages Python (must) R (must) SQL (must) Associated tools and technologies as they become available, and the platform evolves Load and merge data originating from diverse sources.
Performa data cleansing, and quality management.
Pre-process and Transform data for model building and analysis.
Troubleshoot data quality issues and work with team members to reach solutions Perform descriptive analytics to discover trend and pattern in the data.
Create visualizations, including dashboards to provide insights on large data sets and input to finished reports Develop predictive models for business solutions.
Deploy predictive and other models to production.
Analyse output products to assure data quality and conformance to requirements.
Develop technical specification for 3rd party platform data integration and streaming Participate in continuous improvement efforts to increase available data quality and speed of delivery Address ad-hoc domain-specific data analytic requirements from domain or cluster leaders; and a continuously deliver user-centric data visualisations, publications, and products Should you not hear from us within 14 days, please consider your application unsuccessful.
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