Senior Data Scientist

Company Description RightEye™ harnesses the power of science, data, and artificial intelligence to reveal and understand the health and physiological status of individuals using eye tracking technology. Job Description How You'll Contribute RightEye is in search of a competent and seasoned senior data scientist knowledgeable about cloud technologies to be a part of our data science team. This role reports directly to our Chief Product Officer and is responsible for the complete development of production-quality machine learning models that can be deployed across various edge computing devices. Qualifications 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 glean meaningful insights from complex structured and unstructured data - Capability to generalize and validate models - Crafting algorithm prototypes based on project specifications - Implementing changes to algorithms to enhance model performance - Experience in taking projects from concept to production - Running tests and monitoring model performance in production - Troubleshooting and tackling issues with deployed ML models to improve user experience - Documenting every step 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 - Keeping up to date with the latest developments in machine learning - Building the necessary infrastructure for optimal extraction, transformation, and loading of data from various data sources using AWS and SQL technologies - Cooperating with stakeholders including data, design, product, and executive teams and aiding them with data-related technical concerns - Collaborating with stakeholders like the Executive, Product, Data, Engineering, and Design teams to support their data infrastructure needs while assisting with data-related technical challenges Additional Information 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 - Proficient Python developer - Experience with using machine learning frameworks like pycharm, pytorch, AWS SageMaker - Experience with SDLC for machine learning (building, testing, and production deployments) - Proven ability to build resilient, scalable, and secure code - Experience using AWS services - SQL and NoSQL databases - Developing data pipelines from scratch Personal Skills - Creativity and out-of-the-box thinking - Flexibility - Diligence - Strong communication skills Nice to Have - Master’s or Doctoral degree in Computer Science, Data Science, Software Engineering or similar - Experience with medical or health and wellness industry data - Experience in a small company - Coding experience in Java - Experience in building analytical tools to use the data pipeline, providing actionable insights - Experience in identifying, designing, and implementing internal process improvements, optimizing data delivery, and automating manual processes.