Job Description

QUALIFICATIONS AND EXPERIENCE

• Bachelorxe2x80x99s or Honourxe2x80x99s degree in Statistics, Mathematics, Applied Mathematics, Physics , Econometrics, Actuarial Science or equivalent experience
• Masters in Statistics, Mathematics, Applied Mathematics, Physics, Econometrics, an advantage
• 3+ years data science and analysis experience
• Proficient in Python and database technologies
• Valid Driverxe2x80x99s License;

ROLE OVERVIEW

• 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 within the domain of marketing, communications, strategy, and Natural Language Processing - as per CLIENT Digital Strategic Framework. Responsible for the end-to-end data Lifecyle xe2x80x93 from strategic planning, data collection, through monitoring, evaluation, and incremental improvement.

THE CANDIDATE PROFILE

• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Database configuration and management
• Data visualisation
• Data analysis
• Predictive analytics
• Agile
• Exposure to financial services and/or fast retail/FMCG
• Business acumen

KEY PORTFOLIO AND PERFORMANCE FOCUS AREAS

• 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 CLIENTxe2x80x99s 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 of 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 Analytics (must)
• Adobe Analytics (must)
• Google Charts
• NLTK (must)
• Textblob o SpaCy o CoreNLP
• Datorama (advantage)

Languages

• Python (must)
• R (must)
• SQL (must) Conversational AI
• Dialogflow
• Teneo
• Bot Framework / Bot Builder SDK (ideal)
• Watson Assistant
• 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.
• Build and train NLP models
• 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

Job Type: Full-time Salary: R662,576.00 - R1,104,294.00 per year Ability to commute/relocate:

• Pretoria, Gauteng: Reliably commute or planning to relocate before starting work (Required)

Education:

• Bachelors (Required)

Experience:

• data science and analysis: 3 years (Required)