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Data Scientist - Pretoria, South Africa - Ditshaba
Description
QUALIFICATIONS AND EXPERIENCE
- Bachelor's or Honour's 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 Driver's License;
ROLE OVERVIEW
THE CANDIDATE PROFILE
- Strong project management and organizational skills.
- Experience supporting and working with crossfunctional 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 stateoftheart 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 dataasaservice verticals
- Work in a collaborative environment developing data science methods, tools, and algorithms to solve problems.
- Become fluent in analytical modelling using CLIENT's internal data modelling platforms and tool;
- Microsoft Azure (must)
- AWS
- Google Cloud
- Mondodb
- Hadoop
- Cassandra
- Kubeflow
- Tensorflow
- PyTorch
- Microsoft PowerBi (must)
- Microsoft Excel (must)
- Google Analytics (must)
- Adobe Analytics (must)
- Google Charts
- NLTK (must)
- Textblob o SpaCy o CoreNLP
- Datorama (advantage)
- 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.
- Preprocess 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 adhoc domainspecific data analytic requirements from domain or cluster leaders; and a continuously deliver usercentric data visualisations, publications, and products
Salary:
R662, 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)
