Data Scientist

Description

Data Engineering

• Develop the data pipelines to bring data from the various sources into central analytics database.
• Propose initiatives to capture additional data which can be leveraged for analytics.

Data Analytics

• Identify opportunities for leveraging data to drive business solutions.
• Develop analytics solutions for business use as required.
• Develop processes and tools to monitor and analyse model performance and data accuracy.
• Drive adoption of analytic solutions in order to ensure value realisation.

Project Management

• End-to-end management of external consultants where external support is required.

Requirements

• Bachelor’s degree from a reputable institution
• Demonstrable technical competence via assessment exercises and project portfolio
• Minimum of seven (7) years of experience in a similar role, with at least three (3) years at middle management level
• Strong commercial awareness with the ability to identify opportunities and develop/grow existing businesses.
• In-depth understanding of trends, challenges, opportunities, regulations and legislation across various industries
• Strong problem-solving skills
• Strong analytical skills of Innovative and creative thinking
• Experience using statistical computer languages (Python, SQL, etc.) to manipulate data and draw insights from large data sets.
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modelling, clustering, decision trees, neural networks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
• Experience visualizing/presenting data for stakeholders using: Power BI, Business Objects.

Benefits

• Private Health Insurance
• Pension Plan
• Paid Time Off
• Training & Development
• Performance Bonus