RightEye
Senior Data Scientist
RightEye, Bethesda, Maryland, us, 20811
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
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.
Qualifications
ResponsibilitiesExperience 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 dataAbility to generalize and validate modelsCreating algorithm prototypes based on project specificationsImplementing changes to algorithms to improve model performanceExperience in developing projects from concept to productionRunning tests and monitoring model performance in productionTroubleshooting and addressing problems with deployed ML models to improve user experienceDocumenting all steps in the development processExperience with supervised and unsupervised ML modelsSpecific experience with CNN, classification, ensemble, decision trees, clustering algorithmsStatistical experience with ANOVA's, regressions, ROC, uneven target groupings.Remaining up to date on the latest innovations in machine learningBuilding required infrastructure for optimal extraction, transformation and loading of data
from various data sources using AWS and SQL technologiesWorking with stakeholders including data, design, product, and executive teams and assisting
them with data-related technical issuesWorking with stakeholders including the Executive, Product, Data, Engineering and Design
teams to support their data infrastructure needs while assisting with data-related technical issuesAdditional Information
Skill Set
Ability to apply statistical and machine learning techniques to extract meaningful insights from complex structured and unstructured dataBachelor's Degree in Computer Science, Data Science, Software Engineering or similar or equivalent experience5+ years in a Data Science and Engineering roleExperienced Python developerExperience with using machine learning frameworks such as pycharm, pytorch, AWS
SageMakerExperience with SDLC for machine learning (building, testing, and production deployments)Demonstrated ability to build resilient, scalable and secure codeExperience using AWS servicesSQL and NoSQL databasesDeveloping data pipelines from scratchPersonal Skills
Creative and think outside the boxFlexibleDiligentStrong communication skillsNice to Have
Master's or Doctoral degree in Computer Science, Data Science Software Engineering or similarMedical or Health and Wellness industry dataSmall company experienceCoding experience in JavaBuilding analytical tools to utilize the data pipeline, providing actionable insightsIdentifying, designing, and implementing internal process improvements, optimizing data delivery, and automating manual processes
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
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.
Qualifications
ResponsibilitiesExperience 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 dataAbility to generalize and validate modelsCreating algorithm prototypes based on project specificationsImplementing changes to algorithms to improve model performanceExperience in developing projects from concept to productionRunning tests and monitoring model performance in productionTroubleshooting and addressing problems with deployed ML models to improve user experienceDocumenting all steps in the development processExperience with supervised and unsupervised ML modelsSpecific experience with CNN, classification, ensemble, decision trees, clustering algorithmsStatistical experience with ANOVA's, regressions, ROC, uneven target groupings.Remaining up to date on the latest innovations in machine learningBuilding required infrastructure for optimal extraction, transformation and loading of data
from various data sources using AWS and SQL technologiesWorking with stakeholders including data, design, product, and executive teams and assisting
them with data-related technical issuesWorking with stakeholders including the Executive, Product, Data, Engineering and Design
teams to support their data infrastructure needs while assisting with data-related technical issuesAdditional Information
Skill Set
Ability to apply statistical and machine learning techniques to extract meaningful insights from complex structured and unstructured dataBachelor's Degree in Computer Science, Data Science, Software Engineering or similar or equivalent experience5+ years in a Data Science and Engineering roleExperienced Python developerExperience with using machine learning frameworks such as pycharm, pytorch, AWS
SageMakerExperience with SDLC for machine learning (building, testing, and production deployments)Demonstrated ability to build resilient, scalable and secure codeExperience using AWS servicesSQL and NoSQL databasesDeveloping data pipelines from scratchPersonal Skills
Creative and think outside the boxFlexibleDiligentStrong communication skillsNice to Have
Master's or Doctoral degree in Computer Science, Data Science Software Engineering or similarMedical or Health and Wellness industry dataSmall company experienceCoding experience in JavaBuilding analytical tools to utilize the data pipeline, providing actionable insightsIdentifying, designing, and implementing internal process improvements, optimizing data delivery, and automating manual processes