Junior Data Scientist

6 days ago


Mastic Beach, United States MyCareersFuture Full time

Roles & Responsibilities

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 bachelors 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

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