About this role
The Project Leader will serve as a Data Scientist responsible for developing and operationalizing scalable machine learning models. The role involves leading mid to large-sized teams, mentoring staff, and delivering solutions within defined timelines in a challenging environment. Responsibilities include building, training, and evaluating state-of-the-art machine learning models and managing their deployment. Technical requirements include strong proficiency in Python, Spark (with Scala/Python/Java), and various machine learning frameworks such as TensorFlow, PyTorch, Keras, and SparkML. Candidates must have expertise in statistical and probabilistic methods (SVM, Decision-Trees, Bagging/Boosting, Clustering) and core NLP techniques (Text Classification, NER, Topic Modeling, Sentiment Analysis). Experience with cloud platforms (AWS, Azure, or GCP) and collaboration tools (GIT, Jira, Confluence) is required. A background in the commercial pharma landscape and patient data analytics is considered a significant advantage. Familiarity with Generative AI, Large Language Models, and Transformers is a plus. The ideal candidate is self-motivated, driven to solve complex problems, and capable of guiding teams effectively.