Senior Data Science Engineer

November 10, 2024

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Logo of RightEye

RightEye

RightEye is a company that specializes in advanced eye-tracking technology to enhance various fields such as eye care, rehabilitation, education, and sports. They offer products like the RightEye Sensorimotor System, an automated eye exam tool that helps eye care providers identify and address visual tracking impairments. Their technology is supported by over 30 years of scientific research and is used to improve patient care, educational outcomes, and athletic performance. RightEye's solutions also extend to eye-tracking data licensing, aimed at integrating such data with AR/VR applications.

Eye tracking • Performance Improvement • Predictive Analytics • Big Data Modeling • Vision Testing

11 - 50 employees

⚕️ Healthcare Insurance

📚 Education

⚽ Sports

💰 $1M Debt Financing on 2020-03

📋 Description

• Responsible for end-to-end development of production ready machine learning models • Experience in data extraction, cleaning, EDA, model decision making, model development, tuning and productionizing • Demonstrated experience in productionizing ML models • Ability to generalize and validate models • Creating algorithm prototypes based on project specifications • Experience in developing projects from concept to production • Running tests to assess model performance • Implementing changes to algorithms to improve model performance • Troubleshooting and addressing problems with deployed ML models to improve user experience • Documenting all steps in the development process • Remaining up to date on the latest innovations in machine learning • Assembling large, complex sets of data that meet non-functional and functional business requirements • Identifying, designing, and implementing internal process improvements, optimizing data delivery, and automating manual processes • Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies • Building analytical tools to utilize the data pipeline, providing actionable insights • Working with stakeholders including data, design, product, and executive teams and assisting them with data-related technical issues • Working with stakeholders including the Executive, Product, Data, Engineering and Design teams to support their data infrastructure needs while assisting with data-related technical issues

🎯 Requirements

• 5+ years in a Data Science and Engineering role • Experienced Python developer • Experience with using machine learning frameworks such as pycharm, pytorch, AWS SageMaker • Experience with SDLC for machine learning (building, testing, and production deployments) • Demonstrated ability to build resilient, scalable and secure code • AWS SQL and NoSQL databases • Developing data pipelines from scratch

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