Data Scientist

3 weeks ago

Pretoria, South Africa Affirmative Portfolios Full time

**Information Technology**
**Pretoria**
***:
**Data Scientist (Marketing and Natural Language Processing)
- Pretoria-**

**Salary: R 1 104,294 - Permanent**

**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 the organization’s internal data modelling platforms and tool.

**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
- SpaCy
- 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 product.

**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.
- Ability to speak and read Afrikaans
- Exposure to financial services and/or fast retail/FMCG
- Business acumen

**unsuccessful.

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