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Data Scientist (Marketing and Natural Language Processing)

Data Scientist (Marketing and Natural Language Processing)

South African Local Government AssociationZA
2 days ago
Job description

Job title : Data Scientist (Marketing and Natural Language Processing)

Job Location : South Africa,

Deadline : November 18, 2025

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ROLE OVERVIEW

  • Reporting to the Senior Data Architect, 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 SALGA Digital Strategic Framework. Responsible for the end-to-end data Lifecyle – 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
  • Culture fit : SALGA desires an individual who will share and buy-in, in our core values, mission and vision, demonstrating commitment to our ethos beyond just doing the job
  • QUALIFICATIONS AND EXPERIENCE

  • Relevant Degree in Statistics, Mathematics, Applied Mathematics, Physics , Econometrics, Actuarial Science or equivalent at NQF 7
  • 5 year’s experience data science and analysis experience
  • Proficient in Python and database technologies
  • Valid Driver’s License;
  • 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 SALGA’s 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
  • 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 products
  • Deadline : 18th November,2025

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