Director, Data Science

About the role

The Insights and Decision Science (IDS) team is dedicated to enabling improved decision making at Novartis by leveraging superior data to identify actionable insights that drive enhanced performance. We collaborate closely with the US business, bringing insights and challenging ideas to empower smarter, data-driven decision-making.

Key Responsibilities

• Lead the development and deployment of scalable AI solutions, focusing on advanced AI applications across various business units.
• Be prepared to engage in hands-on work when necessary to support the team and further our data science initiatives.
• Collaborate with cross-functional teams to integrate AI-driven solutions across various platforms and services.
• Drive innovation by staying current with advancements in AI, particularly in generative models and LLM technologies.
• Champion the exploration and integration of cutting-edge AI technologies, particularly in the field of generative AI.
• Act as a key liaison between the US commercial team and the India-based data science team.
• Stay abreast of state-of-the-art foundation models and other innovative trends in data science and leverage these insights to inform our strategies.
• Bring a “can-do” attitude and teamwork and inspire others on culture change.
• Acts as an AI role model, championing a culture that embraces cutting-edge AI technologies and encourages experimentation and adoption of best practices.

Essential Requirements

• Advanced degree in Computer Science, Engineering, Statistics, or related field.
• Minimum of 10 years of experience in data science, with 6 years of experience in the pharmaceutical industry is preferred.
• Build and deploy scalable machine learning models using cloud-based services such as AWS and Azure.
• Strong understanding of deep learning algorithms, foundational/ LLM models, statistics, and recommendation systems.
• Deep knowledge of Large Language Models (LLMs) such as GPT, BERT, Cohere, and their applications in real-world scenarios.
• Ability to operate in a hands-on capacity when necessary.
• Proficient in programming languages such as Python, Spark, TensorFlow, and PyTorch.
• Experience with digital channel selection for “next best action.”
• Excellent problem-solving skills and ability to identify creative solutions to complex problems.
• Strong ability to effectively communicate and work across different time zones.

Pay

The pay range for this position at commencement of employment is expected to be between: $194,600.00 and $312,400.00 a year; however, while salary ranges are effective from 1/1/25 through 12/31/25, fluctuations in the job market may necessitate adjustments to pay ranges during this period. Further, final pay determinations will depend on various factors, including, but not limited to geographical location, experience level, knowledge, skills, and abilities.