Data Science Manager

Bachelor's or Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics) required; Ph.D. preferred.

9+ years of experience in data science, with a proven track record of delivering impactful solutions in the pharmaceutical and life sciences industry (Hands-on experience is preferred)

Demonstrated success in managing data & analytics engagements in life sciences or healthcare industries. Preferred expertise in analytics related to drug commercialization (sales force analytics, omnichannel, attribution modeling etc.). Analytical Diversity and agility preferred

Strong proficiency in machine learning, statistical analysis, and data manipulation using Python, or similar state of the art tools. Experience in development and deployment of large scale products/solutions is preferred.

Experience working with cloud platforms such as AWS, Azure, or GCP, including deploying, managing, and optimizing cloud-based solutions.

Experience with generative AI development and associated techniques, such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and RL (Reinforcement Learning), preferred.

Demonstrated leadership skills, with experience in managing and mentoring a team of data scientists and collaborating with other stakeholders (consulting, IT, tech etc.)

Excellent communication and collaboration skills, with the ability to translate complex technical concepts into clear, actionable insights for diverse audiences. Client management experience is a plus

Strong problem-solving and critical-thinking abilities, with a research-oriented mindset and passion for tackling challenging problems, driving innovation in healthcare using ever evolving AI techniques.