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About the role
Graduate/Master’s degree from a Tier-I/Tier-II institution with relevant concentration (e.g., computer science, engineering, statistics)
2-4 years of experience in data science, with a proven track record of delivering impactful solutions in the pharmaceutical and life sciences industry.
Demonstrated success in executing 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.
AI/ML experience is a must, Gen AI experience is a plus.
Strong hands-on expertise in analytics and visualization tools (e.g., Python, Alteryx, Tableau, PowerBI).
Experience working with cloud platforms such as AWS, Azure, or GCP, including deploying, managing, and optimizing cloud-based solutions.
Advanced proficiency in Microsoft Excel and PowerPoint.
Excellent analytical and problem-solving skills spanning across multiple pharma use cases
Outstanding communication skills with the ability to tackle unstructured real-world problems.
Passion for understanding and devising solutions for current issues in the pharmaceutical industry.
Demonstrated ability to lead and mentor junior team members effectively.
Ability to thrive in an international matrix environment and collaborate with US clients during US working hours.
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