Role Summary
This Director, Data Science role is located in East Hanover, NJ and cannot be performed remotely. This is 1 of 2 roles. The position leads the development and deployment of advanced AI solutions to enhance operational efficiency and drive strategic growth, integrates AI-driven solutions across platforms, and collaborates with US commercial and India-based data science teams with a focus on generative AI and large language models (LLMs).
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 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 βcan-doβ attitude and teamwork and inspire others on culture change.
- Act as an AI role model, championing a culture that embraces cutting-edge AI technologies and encourages experimentation and adoption of best practices.
Qualifications
- 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 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 βnext best actionβ
- Excellent problem-solving skills and ability to identify creative solutions to complex problems
- Strong ability to effectively communicate and work across different time zones
Education
- Advanced degree in Computer Science, Engineering, Statistics, or related field
Skills
- Deep learning, foundational/LLM models, statistics
- Large Language Models (LLMs) such as GPT, BERT, Cohere
- Python, Spark, TensorFlow, PyTorch
- AI strategy, cross-functional collaboration, and implementation across platforms