Data Scientist

SUMMARY:
Our client is an intelligence solutions company with strong, industry-specific expertise and core capabilities in data management, GIS, analytics and software development.
We specialise in delivering integrated, online knowledge solutions and real-time data quality solutions, and a broad range of geo-spatial, analytic products and projects to a range of property, automotive, business to consumer, government, and financial services clients.
We hire exceptional people and provide them with the environment where they can excel. Our non-corporate culture encourages flexibility, collaboration and innovation.
We pride ourselves in our core values to Encourage Participation, Respond to Changing Needs and Win Together, which are reflected in each development, project, product or service we undertake to deliver”.

POSITION INFO:
The data scientist in the property and spatial analytics function will have the following responsibilities:
- Delivering on analytical projects and creating value for our clients customers timeously
- Investigation and development of new models to generate value for stakeholders from user behavior through our clients products.
- Prototyping new predictive models & products with a philosophy of quick turnaround and failing fast
- Interpretable visualizations, reports and presentations to showcase the value of predictive models & products
- Ad hoc queries relating to predictive models & products
- Investigation, design and implementation of improvements to existing predictive models & analytical products in the property and spatial analytics spaces
- Documenting and general maintenance of predictive models & products
- Create and deliver value towards the greater team and company vision
Qualifications
- BCom/BSc Honours in Statistics, Mathematics or Computer Science (must have proven statistical model building experience) – preferably Master’s degree
Experience
- 2 – 5 Years relevant experience
Technical skills
- Above average ability to work with, analyse, interpret and report on data
- Knowledge of statistical concepts and techniques as well as practical application of these techniques
- R, Python, SQL experience and SAS Base
- Experience with Docker, Flask, FastAPI, R Shiny, working in data lakes advantageous
- Proficient in Microsoft Office suite (Advanced Excel preferred)
- Ability to adapt to programming environments based on the project at hand
- Professional approach to report writing, documentation and other written communications

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