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Director, Data Science

Novartis
On-site
East Hanover, NJ
$194,600 - $312,400 USD yearly
IT

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 β€œcan-do” 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 β€œnext 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

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