RightEye is Hiring a Senior Data Science Engineer Near Bethesda, MD
Company Description RightEye™ uses the power of science, data, and artificial intelligence to illuminate and understand the health and physiological status of people while using eye tracking technology. Job Description RightEye™ is seeking a skilled and experienced senior data science engineer familiar with cloud technologies to join our data science team. This position will report directly to our Chief Product Officer and be responsible for end-to-end development of production ready machine learning models capable of being deployed to a variety of edge computing devices. Qualifications Responsibilities
Experience in data extraction, cleaning, EDA, model decision making, model development, tuning and productionizing. Experience in each of these areas of the Data Analytics Life Cycle
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
Skill set:
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