Director, Data Science

Key Responsibilities
- Lead the development and deployment of scalable AI solutions across various business units.
- Be prepared to engage in hands-on work when necessary to support the team and 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, especially generative models and LLM technologies.
- Champion the exploration and integration of cutting-edge AI technologies, particularly 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 data science trends and leverage insights to inform strategy.
- Bring a “can-do” attitude; inspire culture change and experimentation.
- Serve as an AI role model; encourage experimentation and adoption of best practices.

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