Data Scientist (Python/SQL/SAS/Stata) Hybrid (TB) at Mediro Recruitment

Description

• The successful applicant will join a team of specialist to work together with the current internal capacity at the client on various projects.
• Acquire, extract, process and synthesize datasets from systems.
• Meeting specified data standards required for general data requests, specialized data requests as well as ad hoc requests including analysis thereof to provide insights and identify revenue opportunities.
• Provide advisory support on data analytics, predictive modeling as well as data mining techniques in order to fully utilize data to the benefit of the organization.
• Develop, amend, update and enhance available scripts to improve the extraction methods used.
• Assist with the practical implementation of the identified machine learning model techniques.
• Exploring patterns in behavior in the tax base to identify fraudulent and noncompliance.
• Design, development and deploying of models for the prediction of submission and payment of tax products.
• Experience in data analysis and methods of supplementing datasets utilized in machine learning modelling.
• Utilizing both supervised and unsupervised machine modeling techniques.
• Outlier detection models to identify noncompliance or tax declaration omissions.
• Improvements and enhancements to the data store, processes to accommodate automation and Machine Learning modelling deployment.
• Explore automation functions and machine learning techniques to improve the data management and analysis processes.

Minimum Requirements

Requirements:

• Must have a Senior Certificate (Matric) compulsory.
• Must have a Data Science related Degree or 3 year National IT Diploma from a reputable institution.
• At least 5 years advanced working experience in data analytics and business intelligence environment.

Technical skills & experience required:

• Advanced knowledge of business information management.
• Must be highly skilled in advanced analytics and big data.
• Must have good experience with statistical analysis tools (SQL, SAS & Stata).
• Relevant knowledge of programming languages like Python to wrangle and clean datasets.
• Knowledge of the enterprise data warehouse environment and creation of data marts.
• Experience in managing and using large data sets.