Data Scientist - Computer Vision

$150,000 - $150,000/Yr

HueDx - Philadelphia, PA

Full-time - Mid Level

Remote - Philadelphia, PA

About the position

HueDx is seeking an experienced Data Scientist with a focus on Computer Vision to develop innovative tools that enhance experiments across various industries. This role involves collaborating with a multidisciplinary team to create image processing pipelines and machine learning solutions that support the company's rapid diagnostic testing platform.

Responsibilities

• Develop image processing pipelines for analyzing biological samples and reaction colors from mobile phone images.
• Create experimental, test, and production code for image processing pipelines and architecture in AWS using Python.
• Develop end-to-end workflows for machine learning solutions, including data preparation and cloud storage.
• Plan for future product needs and understand practical requirements for real-world applications.
• Maintain high scientific rigor in product development, ensuring safety and effectiveness in compliance with FDA standards.
• Produce software for deployed products, managing bugs, features, and complex data science requirements.
• Translate stakeholder requirements into practical data science tasks and ensure clear communication within the team.
• Take ownership of the codebase, ensuring quality code and documentation.

Requirements

• BS/MS/PhD in data science, computer science, or related field with quantitative emphasis.
• 3+ years of industry experience in data science or related fields.
• 3+ years experience with OpenCV or SKImage, SKLearn, Tensorflow/PyTorch or other deep learning frameworks.
• 1+ years experience in AWS or other cloud providers.
• Expert level knowledge and design ability in Python.
• Deep knowledge of statistics and model quality metrics (regression, distance measures, precision/recall, etc.).
• Familiarity with classical computer vision techniques and modern deep neural network approaches.
• Fluency in common data science packages and environments (Jupyter, Pandas, NumPy).
• Experience working in non-RGB color spaces (HSL, HSV, LAB, XYZ, etc.).

Nice-to-haves

• Expertise in computational photography concepts such as white balance, gamma curves, debayering, HDR, etc.
• Extensive background using Sagemaker and MLOps processes in workflows.
• Experience in zero-shot learning or other small-dataset techniques.
• Experience in colorimetric analysis procedures and techniques.
• Familiarity with Bayesian optimization approaches and tools.

Benefits

• Competitive salary starting at $150,000 based on experience.
• Opportunity to work in a cutting-edge technology environment.
• Collaborative team culture with multidisciplinary professionals.