Data Scientist at Crayon

Note: This role is for one of our clients, not for Crayon.

Company description 

From one banking solution and innovative tech to Sunday and paperless banking, everything this company does is to make its client’s lives easier and to empower them to take control of their money. This company has developed an all-inclusive banking solution that enables transactions, savings and access to credit in real-time. This company believes in harnessing the power of technology to make each interaction easier and simpler.

Role Description

To assist in building and delivering the AI strategy to ensure the ability to compete in a fast changing landscape. Data science will be a key strategic differentiator in the future.
Data scientists will help automate and improve processes, create new products and services and assist with improved decision making based on data.

Responsibilities

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions

• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies

• Develop processes and tools to monitor and analyze model performance and data accuracy

• Coordinate with different functional teams to implement models and monitor outcomes

• Develop company A/B testing framework and test model quality

• Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes

• Develop custom data models and algorithms to apply to data sets

• Assess the effectiveness and accuracy of new data sources and data gathering techniques

Requirements

Qualifications (Minimum)

• National Certificate in Grade 12 National Certificate
• A relevant post-graduate qualification in Mathematics or Information Technology - Computer Science

Experience

• 2+ years of experience in building machine learning models in Python/R
• Business analysis and requirements gathering
• Reproducible coding experience and working with source control tools e.g. Git, Bitbucket
• Experience in deploying models into production
• Spark, Hadoop or similar big data coding experience
• Working in remote environments, e.g. Docker, Linux
• Working in cloud environments, e.g. Azure, AWS

Knowledge (Minimum)

• Must have detailed knowledge of:
• Solution and experimental design for model development
• Machine learning development and underlying theory and assumptions of techniques
• Predictive modelling techniques (statistical and machine learning) and deployment
• Source control systems e.g. Git, Bitbucket, or Sourcetree
• Relational database technologies
• Data science lifecycle and applicable skills within

Knowledge (Ideal)

• Data analysis
• Solution and experimental design
• Machine learning model architecture (technical design and implementation processes)
• Specialist in one or more specific machine learning competencies, e.g. NLP, Deep Learning, etc.

Competencies

• Working with people
• Writing and reporting
• Applying expertise and technology
• Analysing
• Delivering results and meeting customer expectations
• Adapting and responding to change
• Achieving personal work goals and objectives
• Learning and researching

Additional Information

• A valid driver's license and own vehicle is preferred
• Ability and willingness to work in an open plan environment

Clear criminal and credit record

Salary 

R40,000 - R80,000+ per month (subject to experience, skillset and job level assigned)

Location

Stellenbosch, South Africa