Data Scientist
DigiOutsource
- Cape Town, Western Cape
- Permanent
- Full-time
- Develop, monitor, and maintain data transformation processes
- Develop models using Big Data and statistical methodologies to answer business requirements
- Applying analysis techniques on a range of projects such as customer behavioural change, effects of marketing, customer segmentation, recommendations, and automated sports trading
- Full project lifecycle management, through design, estimation, analysis, deployment and presentation whilst communicating effectively with key stakeholders
- Take an active role in updating team processes to continuously improve performance and delivery
- Effectively deploy models into production at scale
- Independently align oneself with the business needs and building strong business relationships
- Create reports periodically highlighting the key metrics from the work you produce
- Mentor team in areas of expertise
- Be a role model for everybody else in the team in all interactions and delivery
- Demonstrated knowledge of techniques including machine learning, generalised linear modelling, logistic regression, time series analysis, bayesian methods, neural networks and complex data manipulation/processing skills in order to build models
- Expertise in creating end-to-end data flows with periodic triggering
- A proven ability to think laterally to solve problems
- Strong verbal and written communication skills
- Strong presentation skills with a proven ability to explain technical problems to non-technically minded business personnel
- Able to work autonomously and as part of a team, helping push the team forward
- Expertise in using programming languages such as R or Python to analyse, transform, and visualise big data, as well as to implement machine learning algorithms
- Strong understanding of data/analytical tools including Database querying (SQL) or NoSQL
- Experience with Cloud Technologies, preferably Microsoft Azure
- Exposure to K8s or docker technologies for implementing scalable infrastructure
- An interest in Sports
- Experience in Java/C#
- Understanding of LLMs and how they can be utilised to improve business processes and customer experience
- Demonstrated experience of data transformation techniques, such as Event hub captures, Elastic Search and conversions to Parquet files in the Data Lake
- Industry knowledge of sports trading, marketing or online gaming beneficial
- Degree in Mathematics, Statistics, Economics, Data Science, Engineering or quantitative discipline
- Problem Solving
- Communication
- Presenting with Impact
- Collaboration