Data Scientist – Operations Intelligence
Option Engineering
Johannesburg, Gauteng, ZA
5d ago
source : Careers24

A renowned team with a strong global footprint seeks an experienced Data Scientist Education and Experience Honours or Masters 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 Masters 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 3 years work experience in a Data Science positionKey Purpose In this role you will be involved in creating opportunities that delight our customers by leveraging vast clinical, demographic and operational data.

Using this data with predictive modelling and machine learning techniques you will have a direct impact on strategic initiatives to support world-class operations.

The successful applicant will be working within a highly specialized and growing team investigating ways to optimize and improve client services.

Areas of responsibility may include but not limited to Connecting with a multitude of stakeholders to understand the data in a healthcare and operational context Mining large structured and unstructured datasets to find new insights to inform operational efficiency and member- delight 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 to business users 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 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) Integration and implementation experience A passion for data exploration and analytics 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

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