Associate Manager, Research Analystics

The Data Science Lead will drive the design, development, and deployment of advanced analytics and AI solutions. This role combines hands-on technical expertise with team leadership, guiding data scientists to deliver high-impact solutions. The ideal candidate brings strong experience in machine learning, Generative AI, and modern AI architectures, along with the ability to translate business problems into scalable data science solutions.

- Lead the end-to-end development of data science and AI solutions from problem definition to deployment

- Design and implement machine learning, statistical, and Generative AI models

- Drive adoption of LLMs and agentic frameworks to build intelligent, scalable applications

- Mentor and guide junior data scientists and analysts, ensuring best practices and high-quality outputs

- Collaborate with cross-functional stakeholders to translate business needs into data-driven solutions

- Oversee model deployment, monitoring, and optimization using cloud platforms (AWS/Azure)

- Establish best practices for model development, validation, and MLOps

- Stay updated with advancements in AI, GenAI, and data science, and bring innovation into projects

- 6+ years of experience in Data Science or a related field

- Strong expertise in machine learning, statistics, and data analysis

- Hands-on experience with Generative AI, Large Language Models (LLMs), and related frameworks

- Proven experience in building and deploying one or more agentic AI solutions

- Familiarity with modern AI application architectures

- Experience working with cloud platforms such as AWS and/or Azure

- Strong programming skills in Python and data science libraries (e.g., pandas, scikit-learn, etc.)

- Experience in leading or mentoring data science teams

- Experience in healthcare or life sciences domain

- Strong problem-solving and analytical thinking abilities

- Exposure to NLP, deep learning, and advanced AI techniques

- Experience with vector databases, RAG pipelines, and LLM orchestration tools

- Familiarity with MLOps practices and tools

- Experience with data visualization tools such as Power BI, Tableau, or similar platforms

- Strong leadership and mentoring capabilities

- Excellent communication and stakeholder management skills

- Proactive mindset with a strong sense of ownership

- Willingness to learn and adapt to emerging technologies

- Positive attitude and collaborative approach