Global Business Solutions
Location
Andhra Pradesh | India
Job description
About the Role
Director – Data Science
Location – Hyderabad #LI Hybrid
About the Role:
This individual will be based in India but will primarily work with customers in the US. This role requires the ability to manage time efficiently considering significant time differences. The ideal candidate should be comfortable managing the associated time difference and be flexible with their schedule as needed.
Key Responsibilities:
• The Director, Data Science will be responsible for development and implementation of innovative data-driven solutions that drive business growth.
• Be prepared to engage in hands-on work when necessary to support the team and further our data science initiatives.
• Collaborate with US collaborators to find opportunities where data science can drive business value.
• Stay up to date with the latest advancements in data science and find opportunities to demonstrate these advancements to enhance our products and services.
• Collaborate with cross-functional teams to ensure the successful implementation of data-driven solutions.
• Act as a key liaison between the US commercial team and the India-based data science team.
• Design, build, and deploy deep learning models using various programming languages such as Spark, TensorFlow, and PyTorch
• Stay abreast of state-of-the-art language models and other innovative trends in data science and leverage these insights to inform our strategies.
• Bring a “can-do” attitude and teamwork, and inspire others on culture change.
Diversity & Inclusion / EEO
We are committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.
Role Requirements
Essential Requirements:
• Education : Advanced degree in Computer Science, Engineering, Statistics, or related field
• Languages: Fluent English, other languages desirable
• Minimum of 10 years of experience in data science, with 5+ years of experience in the pharmaceutical industry
• Build and deploy scalable machine learning models using cloud-based services such as AWS and Azure
• Strong understanding of deep learning algorithms, statistics, and recommendation system. Comprehensive understanding of state-of-the-art language models.
• Proficient in programming languages such as Python, Spark, TensorFlow, and PyTorch. Excellent problem-solving skills and ability to identify creative solutions to complex problems
• Strong cross-cultural communication skills and the ability to effectively manage collaboration across time zones, particularly with US-based customers.
Desirable requirements:
• Ability to operate in a hands-on capacity when necessary.
• Possessing excellent communication skills, particularly in translating complex technical concepts into understandable terms for non-technical collaborators
Why Novartis: Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here:
You’ll receive: You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook.
Commitment to Diversity and Inclusion:
Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.
Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here:
Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together?
Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up:
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