Souhrn
About the Role
Key Responsibilities:
- Develop and deploy scalable machine learning models to address business challenges.
- Utilize NLP techniques to extract insights from unstructured text data.
- Implement graph neural networks to analyze relational data and uncover complex patterns.
- Conduct topic modeling to distill key themes from large datasets.
- Design, implement, and analyze experiments to inform data-driven decisions.
- Collaborate with cross-functional teams to identify, define, and solve challenging problems.
- Communicate findings and recommendations to stakeholders in a clear and concise manner.
- Continuously stay updated with the latest advancements in data science, machine learning, and related fields.
Required Qualifications and Skills:
- Bachelor’s degree in computer science, Statistics, Mathematics, or a related field.
- Proven experience in machine learning, NLP, and generative AI.
- Proficiency in graph neural networks and topic modeling.
- Skills in deep learning architecture and training neural networks
- Strong programming skills in Python, R, or a similar language.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Ability to communicate complex technical concepts to non-technical audiences.
Preferred Qualifications and Skills:
- Master's or Ph.D. in a relevant field
- Bachelor’s from reputed college with keen desire to learn
- Experience in the design of experiments and statistical analysis.
- Knowledge of cloud platforms (e.g., AWS, Google Cloud, Azure).
- Strong project management and organizational skills.
Languages :
- English.
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? https://www.novartis.com/about/strategy/people-and-culture
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