Data Scientist

6 months ago


Randburg, South Africa Dimension Data Full time
Functieomschrijving

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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