Data Scientist

Job Description

NOVARTIS is looking for a talented and motivated Data Scientist to join our dynamic team in Hyderabad / Secunderabad, Telangana. The ideal candidate will possess strong technical skills in machine learning, natural language processing (NLP), generative AI, graph neural networks, and topic modeling. You will also be adept at designing experiments to validate hypotheses and drive data-driven decision-making for NOVARTIS.

Key Responsibilities:

• Develop and deploy scalable machine learning models to address business challenges at NOVARTIS.
• 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 within NOVARTIS.
• 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 relevant to NOVARTIS.

  Required Qualifications and Skills:

  • Bachelors 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:

  • Masters or Ph.D. in a relevant field from a reputed college.
  • 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.