Description

Key Skills: Data Scientist, Python, Gen AI, Machine Learning, Chatbots

Roles and Responsibilities:

• Architect, develop and operationalize reusable and modular data analytics products on Company digital health data platform.   
• Collaborate with data product team to define requirements for data pipelines, products and analytics use cases.   
• Collaborate with data engineering team to build data products and analytic use cases.  
• Parner with business stakeholders to define business problems, and design and build advanced analysis and ML models that drive actionable insights from data to support business decisions 
• Advocate and educate on the value of data-driven decision-making, with a focus on solving problems 
• Stay updated with AI/ML innovations and best practices and continue driving improvements of our analytics capabilities. 
• Foster a culture of creativity, collaboration, speed, innovation, and engineering excellence.   
• Coach and mentor junior data scientists and data analysts. 

Skills Required:

• 7+ years of experience developing advanced analytics and ML models to solve complex business challenges. 
• Strong knowledge of ML techniques like classification, regression, anomaly detection, and optimization on large-scale data. 
• Deep understanding of ML and deep learning methods with their underlying theory and math
• Hands-on experience with GenAI application development, including Chatbots and AI agents using both unstructured and structured data 
• 3+ years in MLOps, including end-to-end development, deployment, and operationalization of analytics products. 
• 3+ years building cloud analytics solutions on AWS, Azure, or GCP. 
• Proficient in Python and SQL. 
• Experience with BI and dashboarding tools (e.g., Tableau, React). 
• Thrives in cross-functional teams, values diverse perspectives, and adapts quickly to new challenges and domains. 
• Solution-oriented, challenges the status quo, and is passionate about tackling complex problems. 

Preferred Qualifications: 

• Experience in healthcare and related data analytics use cases 
• Experience in building and launching large scale AI-based software products.  

Education: Bachelor's degree or above in a quantitative discipline (Statistics, Data Science, Computer Science, Engineering, or related technical field)

Key Skills

Education

Any Graduate