Senior Data Scientist

Role Overview

The Senior Data Scientist will be involved in creating opportunities that delight customers by leveraging Discovery's vast clinical, demographic, and operational data. The role will involve leading the design, development, and deployment of LLM- and generative AI-based solutions to address large-scale and complex problems. The successful candidate will work within a highly specialized and growing team investigating ways to optimize and improve client services for Discovery's client schemes.

What You Will Do

The Senior Data Scientist will lead the design, development, and deployment of LLM- and generative AI-based solutions, conduct desktop research into the state-of-the-art in LLMs and Generative AI, and conduct experimental research on the use of LLMs in real-world company applications. The role will also involve collaborating with product owners, project managers, and executive stakeholders to identify and prioritize business problems that can be solved with LLMs.

Why It Might Be a Fit

The successful candidate must be motivated, productive, and work well within a team. The role requires a strong ability to communicate complex technical concepts to executives and non-technical stakeholders effectively, and to demonstrate strong emotional intelligence by understanding and uplifting team members.

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 (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

Benefits

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