Data Science Manager

Skills

About the Role

You will lead a technical, hands-on team building AI-driven healthcare enterprise applications, combining people leadership with deep technical expertise to guide scalable, data-intensive solutions. You will mentor and manage data scientists and analysts, guiding the team through evaluating, selecting, and implementing the right models while overseeing end-to-end workflows. You will partner closely with internal stakeholders and cross-functional engineering, product, and clinical teams, staying adaptable as business needs evolve.

Requirements

• 7+ years of overall professional experience delivering data-driven AI/ML-focused solutions
• 3+ years of direct team management experience leading Data Scientists, ML Engineers, or similar technical roles
• Hands-on experience in Python with proficiency in Pandas, NumPy, SciPy, Matplotlib, and regular expressions
• Advanced SQL querying and optimization for large datasets
• Practical experience training, tuning, and testing ML algorithms (SVM, CART, Bagging, Boosting) and text mining techniques
• Familiarity with modern ML/DL approaches
• Experience with prompt engineering and leveraging GenAI for classification, data enrichment, and semantic embeddings
• Experience prototyping design frameworks and iterating on AI/ML models
• Strong knowledge of Object-Oriented Programming and experience creating custom Python packages for serverless applications
• Hands-on experience with AWS services including Lambda, EC2, EMR, S3, Athena, Batch, Textract, and Comprehend
• Excellent communication and storytelling skills

Responsibilities

• Lead, mentor, and develop a high-performing team of Data Scientists and ML Engineers
• Contribute to event-driven architecture design and implementation for asynchronous processing and large-scale system integration
• Partner with Data Scientists on model tuning, experimentation, and prompt design
• Collaborate with Product and Software Engineering to embed AI/ML into user-facing applications
• Engage with DevOps/Platform Engineering on environment setup, CI/CD, monitoring, and reliability
• Work with Data Engineering on pipeline design and ingestion strategies
• Provide technical leadership in the use of AWS services such as Lambda, EC2, EMR, S3, Athena, Batch, Textract, Comprehend, and Bedrock
• Drive project scope definition, effort estimation, and planning with cross-functional teams
• Conduct code reviews, provide architectural direction, and champion SDLC best practices