Key Responsibilities:
- Assists in the conceptualization of analytical projects
- Maintain project plans and status reports for all incoming and active projects
- Provide subject matter expertise to stakeholders throughout the whole analytics lifecycle
- Prepare documentation to outline data sources, models and algorithms used and developed
- Drive data collection efforts
- Assist with developing new data-discovery tools
- Extract data from data sources
- Propose new uses for existing data sources and structures
- Integrate multiple data sets to build large and complex data sets
- Apply programming abilities to build software to scrub, combine, and manage data from a variety of sources
- Apply data mining techniques and programming skills to investigate leads, identify patterns and regularities in data
- Develop data models based on advanced statistical modelling, data mining, and machine learning methods
- Implement automated processes for efficiently producing scale models
- Identify areas of improvement of current processes, products/services, or analytical models
- Assist with the development of actionable recommendations
- Develop compelling, logically structured presentations including storytelling of research/analytics findings
- Guide stakeholders on how to act on findings
Required Qualifications:
- Masters or bachelor’s in computer science, Mathematics, Statistics, Information Technology, Physics, Engineering or equivalent, with a strong focus on computer vision/ deep learning.
- Solid experience in applying AI and machine learning techniques to medical imaging or healthcare datasets.
- Proficiency in programming (Python etc.) and good experience with deep learning frameworks (TensorFlow, PyTorch etc).
- Hands on experience in the development of image classification, object detection, segmentation, video analytics, multimodal model or related.
- Model deployment experience is preferred.
- Proven communication skill to explain insights from technical work to non-technical audience through presentation or other means
