Data Science Analyst
3 weeks ago
Position Overview
We are seeking a talented Data Science Analyst to support our Healthcare Analytics workstreams. This role is ideal for a candidate with a strong background in Machine Learning and Deep Learning who is passionate about developing new AI applications with a direct impact on healthcare.
Key Responsibilities
- Analyze data to scope out problem definitions and hypotheses for image/signal data-related use cases.
- Develop and implement image analysis, synthesis, and other aspects of algorithm development, including visual recognition, object detection, segmentation, and signal data pattern recognition.
- Explore cutting-edge technologies in image/signal data-related algorithms and ensure their successful application.
- Design experiments to test data assumptions and evaluate outcomes to draw actionable conclusions.
- Deploy data models across different channels and customer platforms.
- Partner with stakeholders to translate business problems into data science projects.
- Develop strategies to identify, acquire, and use appropriate data sets to develop practical solutions and support decision-making.
- Maintain an advanced knowledge of trends affecting the industry.
- Synthesize findings into actionable insights and apply data analysis, data mining, and data processing to present data clearly.
- Provide rationale, business cases, and ROI models to support investment.
Requirements
- PhD or Master's in a quantitative field such as Mathematics, Statistics, Information Technology, Physics, Engineering, Finance, or equivalent.
- Solid research and engineering background and experience in computer vision, deep learning, and image/signal data processing/analysis algorithms.
- Good experience with Python or R is a prerequisite.
- Good experience with Deep Learning frameworks such as TensorFlow, Keras, or PyTorch is a prerequisite.
- Hands-on experience in the development of image classification, object detection, segmentation, signal data pattern recognition, or related is preferred.
- Good experience with SQL and/or NoSQL is preferred.
- Preferably, 3 years of relevant working experience.
- Proven communication skills to explain insights from technical work to non-technical audiences through presentation or other means.
- Ability to work independently.
- Model deployment experience is preferred.
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