Data Scientist

Do you want to work with the latest technology? Do you want to be part of a team that is constantly improving their product and customer experience? Would you like to work with cutting edge algorithms, machine learning and data mining tools? Are you looking for a role where you will make an impact on our business results? We are looking forward to receiving your application!

As a Data Scientist, you'll be responsible for the development of analytical models and algorithms. You will work with data scientists to develop our machine learning and predictive analytics solutions in order to enhance customer experience and drive growth across the business.

You should have strong programming skills including knowledge of R or Python; some familiarity with SQL is preferred but not required. Some familiarity with statistics would also be beneficial but isn't essential.

Requirements

1. Stakeholder Management

• Work with data and analytics squads to identify relevant data sources to perform meaningful customer analytics.
• Work closely with the business execution teams to ensure insights make business and financial sense.
• Work collaboratively with various teams to ensure effective delivery of the departmental goals based on analysis results.

• Provide innovative ways to support the implementation and effective execution of the strategy.
• Assist with development and delivery of business cases.
• Use data and advanced statistical methods to generate new business insights.
• Cross-reference and correlate results with supporting material.
• Ensure model results are explainable.
• Develop, train, test, implement, update and maintain analytical models.
• Source and prepare data for analysis and modeling purposes.
• Develop dashboards for business consumption and interaction of results.
• Implement tracking mechanisms to measure the business impact of action taken against results and insights provided.

• Ensure solutions adhere to MultiChoice patterns, guidelines, and standards.
• Operate within project environments and participate in continuous improvement efforts.

• Follow and participate in defined ways of work including but not limited to sprint planning, backlog grooming, retrospectives, demos, and PI planning.

Qualifications

Degree in Business and Quantitative field (Econometrics, Mathematics, Statistics, Computer Science or Similar).

Post Grad Advantageous.

Experience

A minimum of 3 - 5 years of relevant data science experience.

• Application of statistical, mathematical, predictive modeling and forecasting techniques.
• Experience in building and implementation of Supervised and Unsupervised Machine Learning Algorithms to solve meaningful business problems.
• Preparation and presentation of findings to senior management.
• Facilitation of discussion and interpretation of results to deepen business understanding.