Staff Data Scientist – In Office Role

Role Overview

• Work with customers to capture data and analytics requirements
• Develop, verify, and validate analytics to address customer needs and opportunities
• Work alongside software developers and software engineers to translate algorithms into commercially viable products and services
• Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics
• Perform exploratory and targeted data analyses using descriptive statistics and other methods
• Work with data engineers on data quality assessment, data cleansing and data analytics
• Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes
• Communicate methods, findings, and hypotheses with stakeholders

Requirements

• Bachelor's Degree in Computer Science or 'STEM' Majors (Science, Technology, Engineering and Math)
• Master’s or PhD is advantageous
• Minimum of 6 years of professional experience in AI product development
• Demonstrated skill in data management methods
• Demonstrated skill in feature extraction and realtime analytics development and deployment
• Demonstrated skill in prescriptive analytics and analytic prototyping
• Proficiency in python and deep learning frameworks such as Tensorflow, PyTorch and openCV
• Strong background in AI image processing and computer vision algorithms, including training and fine-tuning image classification and segmentation models
• Experience with model optimization for latency and throughput in online systems
• Experience with large-scale CNNs, vision transformers, and self-supervised learning
• Experience with the full AI lifecycle, including data curation, model development, and model validation for production
• Proven ability to collaborate with ML engineers to integrate models into production
• Skilled in model validation for product readiness, with a strong focus on writing production-quality, maintainable code
• Experience in medical device development is considered a strong asset
• Demonstrated skill in defining and delivering customer value in these areas
• Demonstrated skill at working in a team setting
• Demonstrated skill in critical thinking and problem solving methods
• Demonstrated skill in presentation and influencing skills
• Undergraduate or graduate studies in biomedical engineering is highly desired
• Experience with multimodal data integration and systems combining images, video, and speech is highly desired
• Experience with cloud computing platform, such as AWS or Azure is highly desired
• Experience working with robotic simulation is desired
• Experience in medical imaging AI development is highly desired
• Background in robotics or automation technologies is advantageous
• Background in automated vehicle or robotic guidance is highly desired

Tech Stack

• AWS
• Azure
• Cloud
• Python
• PyTorch
• Tensorflow

Benefits

• No specific benefits mentioned