SUMMARY:
Our client, a leader in the Telecommunications Industry, has a vacancy for a Data Scientist - Digital Care, based in Cape Town. 12 Month Contract Position. R 420 p/h.
POSITION INFO:
ROLE PURPOSE:
Working with senior data scientists to create Advanced Analytics products that provide actionable business insight to the client and its stakeholders.
Developing predictive models with senior data scientists with large and varied datasets, working with a community of colleagues across Advanced Analytics, technology, and data and customer functions
Contributing to the wider community to enable an Advanced analytics capability across the client globally.
Key accountabilities and decision ownership:
Development of machine learning models for various areas of the business on the Big Data Platform
Development of prototype code in e .g. PySpark for automated training and scoring of the machine learning models
Machine Learning Model performance tracking and reporting using e.g. Qlik
Uses data visualisation to engage audience in a compelling way, enabling effective storytelling
Work with senior data scientist to deliver key packages of work to meet the needs of business customers
Works in partnership with Big Data Engineering for data ingestion to support use cases
Works in partnership with Big Data Production Data Engineering for model automation and productionising
Qualifications - External
QUALIFICATIONS, JOB KNOWLEDGE, COMPETENCIES AND EXPERIENCE:
Bachelor’s or Master’s Degree in quantitative fields like Mathematics, Statistics, Economics, Computer Science ,Engineering, Artificial Intelligence, Social Sciences, Data Journalism, or related fields essential and a minimum of 3 years relevant experience in Data Science.
Experience in data manipulation: use of structured data tools (e.g., SQL), and platforms (e.g., Hadoop, Spark, NoSQL)
Proficiency in at least one relevant programming language: Python, R
Experience in major machine learning modelling libraries (e.g., H2O, scikit-learn, PyTorch) and techniques (e.g. random forest, gradient boosting, k-means segmentation, multiple regression, factor analysis, time-series forecasting)
Familiarity with visualisation tools (e.g. Tableau, Qlik, D3)
Exposure/interest in machine learning
Professional and/or academic experience in Big Data analytics & deployment of models and algorithms to solve real-world problems (with deep statistical and machine learning modelling expertise)
Experience manipulating and analysing large and complex datasets
Experience in visualisation, creating graphical static and interactive displays of data and clearly communicate insight (preferred)
Good interpersonal communication and presentation skills
Ability to work in a fast-paced environment
Analytical and expansive thinking with a strong desire to deliver and develop
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