Data Scientist (Intermediate)

Role Overview

The Data Scientist will work in the Discovery Health Operations Intelligence unit, applying predictive analytics and big data skills to provide data-driven answers to problems in servicing, operations, and other areas of the business. The team has access to structured and unstructured data and uses the latest international innovative big data architecture.

What You Will Do

The successful applicant will be involved in creating opportunities that delight customers by leveraging Discovery's vast clinical, demographic, and operational data. They will use data with predictive modeling and machine learning techniques to have a direct impact on strategic initiatives to support Discovery's world-class operations.

Why It Might Be a Fit

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. They will have a direct impact on strategic initiatives and will be working with a variety of stakeholders, including product owners, project managers, and executive stakeholders.

Requirements

• 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 adapt to emerging technologies and tools
• Proficiency in version control systems such as Git for collaborative coding and maintaining code integrity
• 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
• 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

Benefits

• Employment equity
• Equal opportunities employer
• Welcoming people with various disabilities to apply