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.

How You’ll Contribute

RightEye is seeking a skilled and experienced senior data scientist 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.

Responsibilities

• Experience in the Machine Learning Lifecycle (MLLC) including ETL, cleaning, EDA, model decision making, model development, tuning and productionizing.

• Ability to apply statistical and machine learning techniques to extract meaningful insights from complex structured and unstructured data

• Ability to generalize and validate models

• Creating algorithm prototypes based on project specifications

• Implementing changes to algorithms to improve model performance

• Experience in developing projects from concept to production

• Running tests and monitoring model performance in production

• Troubleshooting and addressing problems with deployed ML models to improve user experience

• Documenting all steps in the development process

• Experience with supervised and unsupervised ML models

• Specific experience with CNN, classification, ensemble, decision trees, clustering algorithms

• Statistical experience with ANOVA’s, regressions, ROC, uneven target groupings.

• Remaining up to date on the latest innovations in machine learning

• Building required infrastructure for optimal extraction, transformation and loading of data

  from various data sources using AWS and SQL technologies

• 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

• Ability to apply statistical and machine learning techniques to extract meaningful insights from complex structured and unstructured data

• Bachelor’s Degree in Computer Science, Data Science, Software Engineering or similar or equivalent experience

• 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

• Experience using AWS services

• SQL and NoSQL databases

• Developing data pipelines from scratch

Personal Skills

• Creative and think outside the box

• Flexible

• Diligent

• Strong communication skills

   

Nice to Have

• Master’s or Doctoral degree in Computer Science, Data Science Software Engineering or similar

• Medical or Health and Wellness industry data

• Small company experience

• Coding experience in Java

• Building analytical tools to utilize the data pipeline, providing actionable insights

• Identifying, designing, and implementing internal process improvements, optimizing data delivery, and automating manual processes