Lead Data Scientist

• Design and lead the development of various artificial intelligence initiatives to help improve health and we'llness of patients
• Work with the business leaders and customers to understand their pain-points and build large-scale solutions for them.
• Define technical architecture to productize Innovaccer s machine-learning algorithms and take them to market with partnerships with different organizations
• Proven ability to break down complex business problems into machine learning problems and design solution workflows.
• Work with our data platform and applications team to help them successfully integrate the data science capability or algorithms in their product/workflows.
• Work with development teams to build tools for repeatable data tasks that will accelerate and automate development cycle.
• Define and execute on the quarterly roadmap

What You Need

• Masters in Computer Science, Computer Engineering or other relevant fields (PhD Preferred)
• 7+ years of experience in Data Science (healthcare experience will be a plus)
• Strong written and spoken communication skills
• Strong hands-on experience in Python - building enterprise applications alongwith optimization techniques.
• Strong experience with deep learning techniques to build NLP/Computer vision models as we'll as state of art GenAI pipelines - knowledge of implementing agentic workflows is a plus.
• Has demonstrable experience deploying deep learning models in production at scale with interactive improvements- would require hands-on expertise with at least 1 deep learning frameworks like Pytorch or Tensorflow.
• Has keen interest in research and stays updated with key advancements in the area of AI and ML in the industry.
• Deep understanding of classical ML techniques - Random Forests, SVM, Boosting, Bagging - and building training and evaluation pipelines.
• Demonstrate experience with global and local model explainability using LIME, SHAP and associated techniques.
• Hands on experience with at least one ML platform among Databricks, Azure ML, Sagemaker s
• Experience in developing and deploying production ready models
• Knowledge of implementing an MLOps framework.
• Possess a customer-focused attitude through conversations and documentation