Data Scientist (Intermediate)
Discovery Limited · Johannesburg, Gauteng
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Start free — we apply for you →Key Purpose
- In this role you will be involved in creating opportunities that delight our customers by leveraging Discovery's vast clinical, demographic, and operational data. The successful applicant will be working within a highly specialized and growing team investigating ways to optimize and improve client services for Discovery's client schemes. The successful candidate must be motivated, productive and work well within a team.
Areas of responsibility may include but not limited to
- Connecting with a multitude of stakeholders to understand the data in a healthcare context
- Mining large structured and unstructured datasets to find new insights to inform healthcare efficiency and interaction strategies
- Research and application of the most up to date machine learning algorithms and AI techniques
- Present data and model findings in a way that provides actionable insights
- Implementing results for use in both the internal and external environments
- Monitoring model performance
- Improve processes and databases where opportunities arise
Personal Attributes and Skills
- Expert in data science programming languages such as R, Python, Scala
- Expert in data manipulation skills including SQL to extract, transform and load data
- Experience in interactive data exploration and data-driven story telling
- Understanding and application of Big Data and distributed computing principles Hadoop and MapReduce
- Hands on experience with Big Data systems will be preferred
- Strong analytical and statistical knowledge with an understanding of the latest machine learning algorithms for both structured and unstructured data
- Ability to formulate problem statements and develop a plan for tackling the problem
- Strong ability to communicate findings and recommendations from data visual, verbal and written
- Production environment machine learning and AI
- A passion for data exploration and complex healthcare environment
- Self-starter
- Willingness to learn and grow exponentially
- A restless curiosity towards data and uncovering unknown correlations
- Ability to work cohesively in a team environment and balance multiple priorities
- A team player who can work alone when required and without supervision
- High level of attention to detail, resilience, enthusiasm, energy and drive
- Positive, can-do attitude
- Ability to adapt to emerging technologies and tools
- Proficiency in version control systems such as Git for collaborative coding and maintaining code integrity
- Ethical and able to maintain confidentiality and manage boundaries
- Aligned to Discovery values and core purpose
Education and Experience
- Honours or Master's degree in either Data Science, Statistics, or Applied Mathematics with some experience in software engineering, computer science or working with big disparate sets of data, OR
- Honours or Master's degree in Computer Science or Software Engineering with solid experience in statistical modelling, data mining and machine learning
- Other analytical qualifications will also be considered if accompanied by the relevant experience
- A minimum of 2-3 years' work experience in a data science position