Black Pen Recruitment is South Africa’s #1 recruitment consulting firm specialised in BPO services, foreign language recruitment and staffing solutions and immigration services. With our outstanding experience in the BPO industry and our own in-house immigration division, we will find the right candidates for foreign language specialist positions as well as immigration solutions for foreign employees.
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A talented Senior Data Scientist to join our team.
The team consists of innovators and builders with domain expertise in the lending space.
They share a determination to continue leveraging data driven approaches to problem solving by building products that the market needs and API integrations that drive value across the board.
Responsibilities
Development of machine learning models and recommendation systems 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
Delivers key packages of work, on time and in a collaborative manner 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 productionisation
Contributes to the development of self and others across the global analytics community, ensuring Advanced Analytics is always evolving and at the cutting edge.
Requirements
Bachelor's or Master's Degree in quantitative fields like Data Science Mathematics, Engineering, Statistics, Computer Science, Artificial Intelligence or related fields
4 - 7 years experience as a data scientist
Expertise in data manipulation: use of structured data tools (e.g., SQL), & unstructured data tools and platforms (e.g., Hadoop, Spark, NoSQL)
Proficiency in Python
Expertise 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)
Experience in digital data sets, e.g., social listening, social network analysis)
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 that clearly communicate insight (preferred)
Experience in telecommunication network principles (preferred)
Good interpersonal communication and presentation skills
Ability to work in a fast-paced environment across multinational functional teams
Analytical and expansive thinking with a strong desire to deliver and develop.
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