Senior Data Scientist X2

SUMMARY:
Senior Data Scientist

POSITION INFO:

Our Client a Global Tech firm is seeking 2 Senior Data Scientist to join their team in Sandton. They offer stability, growth, competitive salary, Benefits and a great working environment.

Description

The role of a Data Scientist is to transform data found inside of an organization into new information that will be used to make business decisions. We are looking for a Data Scientist that will help us discover the information hidden in vast amounts of data, and help our clients make smarter decisions to deliver even better products.

Requirements

• University Bachelor degree in at least one of the following is minimum: Economics, Computer Science, Mathematics, or Statistics.
• BSc Mathematics, Informatics & Computer Science, Quantitative Science, Statistics or Actuarial Science or equivalent
• 5-10 years experience within a Data role
• Understanding of ITO and Managed Services, and the ability to manage enterprise level environments, whilst adhering to service level agreements and levels of reporting.
• Understanding of Project Management concepts.
• Presentation skills to a senior/strategic audience
• Understanding of CRISP DM

ROLES AND RESPONSIBILITIES

• Designing, building and deploying data science solutions using Python, R and SQL technologies while ensuring that existing methodologies, Microsoft best practices and industry best practices are followed.
• Translating business requirements into functional and technical requirements and communicate these requirements to the business and relevant technical teams.
• Designing, building and deploying, timeous, relevant and accurate Machine Learning Models and Advanced Analytics solutions using a variety of technologies
• Monitoring deployed solutions’ performance
• Creating and maintaining architectural, project and operational documentation
• Respond to ongoing business requirements by improving the solution through continual development, maintenance, support and enhancement
• Conducting root-cause analysis to identify problems areas and risks in systems or application design.
• Assisting in aligning systems strategy and roadmap with business needs
• Designing and conducting a detailed system test plan to ensure an accurate and effective systems / application implementation
• Performing end-user training and conduct workshops
• Performing analysis to determine scope and objectives for business, functional and technical requirements
• Strong analytical and problem-solving abilities
• Clear and logical thinking
• Team player that is easy to work with and that functions in any size team
• Demonstrates personal motivation and a positive attitude
• Uses initiative, shows determination and commitment to delivery
• Copes under pressure
• Demonstrates resilience
• Facilitation Skills
• Strong work ethic and drive for results
• Values quality and produce high quality work at all times
• Good verbal and written communication skills, including an extensive vocabulary of general language and ICT terminology
• Reliable – ensures that if an assignment is allocated, it will be completed as agreed
• Willing to learn other platforms
• Demonstrates high ethics and adherence to Company values
• Self-motivated, with a keen passion to stay ahead of the trends.
• Risk management/risk mitigation skills.
• Strong analytical and problem-solving abilities
• Clear and logical thinking
• Team player that is easy to work with and that functions in any size team
• BSc Mathematics, Informatics & Computer Science, Quantitative Science, Statistics or Actuarial Science
• Must have SAS, R, Python
• Machine learning experience is advantageous
• Data Mining and Data Manipulation is advantageous
• 5+ years’ experience within a Data role as a Data scientist
• Python, R, SQL, Azure Data Bricks, Azure Machine Learning Studio
• Database design
• Database administration
• Understanding of writing SQL statements
• Microsoft office package
• SQL, stored procedures, triggers, cursors and general scripting

NB! This job is now closed. You can apply for other jobs by uploading your CV.