Durban Tel: 031 566 4257

Johannesburg Tel: 011 440 7117

Cape Town Tel: 021 794 7475

International Tel: 0027 87630 0325

Senior Data Scientist – Hybrid – SSSDSH

Main job function

To use business data, visualisation and statistical methods to conduct analysis and provide insight and foresight into business performance; suggest analytical approaches and methodologies of improving operational performance; research, design and implement state of the art machine learning solutions to enhance the business.

KEY RESPONSIBILITY AREAS
• Support relevant business stakeholders through the application of advanced analytics, statistical modelling and machine learning
• Statistical and machine learning model maintenance and enhancement
• Promote the adoption of advanced data science and analytics across the organisation
• Support and leverage data management
• Mentor, develop and advise of Data Scientists

REQUIRED EDUCATION
ESSENTIAL EDUCATION
• Master’s degree in mathematics, statistics, data science or related quantitative field

DESIRED EDUCATION
• PhD in mathematics, statistics, data science or related quantitative field

REQUIRED EXPERIENCE
ESSENTIAL MINIMUM EXPERIENCE
• 6-8 years’ relevant working experience in data science building and implementing predictive models

DESIRED EXPERIENCE
• Experience in the healthcare industry

REQUIRED JOB SKILLS AND KNOWLEDGE
• Data science, mathematics, statistics, curiosity and creative problem solving
• Derive value from analytical output by explaining insights in layman’s terms
• Advanced analytics and understanding of machine learning algorithms e.g. Neural networks, boosting methods, clustering and random forest models
• Abreast with the latest developments in AI/ML, Data & Digital innovation and the resulting implications for the organization and healthcare industry
• Programming skills in scripting languages such as SAS, R, Python and SQL
• Proficient in Data Storytelling (analysing, explaining findings, and articulating business implications)
• Presentation skills (Tableau, SAS Visual Analytics, Power BI) to audiences from all levels of the company
• Subject Matter Expertise on all aspects of AI and ML. Can identify appropriate techniques/solutions for business & data problems
• Proficient in prescribed company scripting languages, and can teach, review and optimize code written in these languages
• Knowledge of the Healthcare industry and related trends
• Critical and analytical thinking skills and inquisitiveness to discover patterns with data
• Managing data-driven projects that drive business value
• Exceptionally good computer skills and all-around technologically adept
• Knowledge and ability to build and deploy machine learning solutions using open-source and cloud technologies
• Strong interpersonal and relationship building skills.

A Consultant will be in touch if you are shortlisted for the position. Please consider your application unsuccessful should you not have been contacted within 2 weeks. We will keep your CV on our database and contact you should you match the criteria of any other vacancies.

To apply for this job email your details to Sharonsmit@armstrongappointments.com