Data Scientist
Found in: Talent ZA C2 - 2 weeks ago
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
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
Operational
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
Compliance
Ensure solutions adhere to MultiChoice patterns, guidelines, and standards
Operate within project environments and participate in continuous improvement efforts
Delivery Management
Follow and participate in defined ways of work including but not limited to
sprint planning, backlog grooming, retrospectives, demos, and PI planning
Technical Competencies
Azure Machine Learning Services
Azure Auto ML
Azure Data Lake including parquet files
Databricks including DeltaLake
PowerBI
Python
PySpark
SQL
Qualifications
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
Requirements --
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