30 petabytes of 30 varieties of data forms across the value chain is waiting for data scientists to unlock the potential.
Open source technologies, advanced deep learning algorithms, time for innovation is what we offer to folks who can apply to a problem solving hungry business to bend and improve patient life.
Data Scientist is responsible for the capabilities needed to operate a scientific practice using advanced techniques to understand data and produce insights that are of value to Novartis.
The role encompasses the full life cycle- from design, implementation and rollout of the solutions. The mission is to solve scientific, operational and technical challenges.
You will be responsible but not limited to :
Collaborate in multi-functional teams to evaluate business activities, and then develop innovative and effective approaches to tackle team’s analytics problems and communicate results and methodologies.
Ability to initiate and drive projects from conception to completion with minimal guidance.
Innovates and recommends advanced predictive analytics, computational science, Natural Language Processing (NLP), machine learning and deep learning techniques to answer research questions and synthesize insights that achieve business objectives.
Establishes scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.
Works to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.
Ability to build and fine tune algorithms that scale up from small-scale proof-of-concept stage to full production systems
Build knowledge artifacts of real business problems that were solved with advanced analytics techniques which can be published in journals.
University degree in Statistics, Operational Research, Computer Science or in a highly quantitative field.
Business fluent in English (written and spoken)
PhD. from top University in Statistics, Operational Research, Computer Science or in a quantitative field.
2+ years in predictive modeling and large data analysis.
2+ years' of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python, R, Scala), or deep learning libraries (e.g. tensorflow, pytorch)
Why consider Novartis?
750 million. That’s how many lives our products touch. And while we’re proud of that fact, in this world of digital and technological transformation, we must also ask ourselves this : how can we continue to improve and extend even more people’s lives?
We believe the answers are found when curious, courageous and collaborative people like you are brought together in an inspiring environment.
Where you’re given opportunities to explore the power of digital and data. Where you’re empowered to risk failure by taking smart risks.
And where you’re surrounded by people who share your determination to tackle the world’s toughest medical challenges.
We are Novartis. Join us and help reimagine medicine.