Data Science - UI/Human Factors Engineer 3

Data science Sunnyvale, CA Instrumentation and test box development Build and validate experimental conditions within virtual and physical environments Develop and validate Client and OTS bioinstrumentation and psychometrics that can be implemented in experiments to reliably measure individual differences related to human performance Data extraction, transformation, processes, analysis and visualization with multiple data sources from biometrics, psychometrics, and system data logs from lab-based experiments and field-based experiments Prototype and iterate on designs, develop tests, and deliver high-quality software in Python or C++ required for ML performance modeling Develop Snowflake pipeline, Databricks pipeline Experience in testing BI systems and data analysis processes, including ETL processes Data testing such as pre-screening raw data, vital check on completeness, integrity of data, field tests on Aggregation, Reconciliation tests, Report and App testing associated with data collection from lab-based experiments Execute end-to-end testing of ETL processes, including data extraction, transformation, loading, and reporting, to ensure accuracy, completeness, and data integrity from lab-based and field-based experiments Create and analyze requirements and deliver required project documents test strategy, testing scope and test cases Manage data management governance associated with data sharing internally and externally Manage updates on systems configurations for reliable data capture pipeline from lab-based and field-based experiments Development and maintenance of data infrastructure required to synchronize, capture, process and analyze multiple data sources from research and evaluations to inform product design strategies, product development, and product claims Build and validate experimental conditions within virtual and physical environments Develop and validate Client and OTS bioinstrumentation and psychometrics that can be implemented in experiments to reliably measure individual differences related to human performance Base Qualifications Minimum 6 years relevant research and engineering experience in product development industry. Minimum 6 years leading data science related to human subjects' research. Ability to process and analyze large quantitative datasets from human subjects and robotic systems. Ability to analyze large volumes of data from mixed methods research into usable communications. Ability to develop experimental conditions and stimuli in virtual and physical environments. Excellent verbal communication and presentation skills. Ability to work with and across various groups and levels of management within the organization, including other engineering groups, commercial, clinical engineering, and regulatory. Excellent collaboration skills. Ability to apply user-centered design and human factors engineering principles to product research, development, and design. Required Education and Training Minimum BS in Mechanical Engineering, Computer Science, Psychology, Biomechanics with emphasis on Human-Computer Interaction, Robotics, or a related field. Work Conditions Ability to travel internationally as well as domestically (up to 25% quarterly). Primarily office-based set schedule working model Preferred Skills and Experience Experience in data science. Experience with bioinstrumentation, a plus. Experience in medical device, or similar regulated industry, a plus. Travel - 25% domestic

Created: 2026-03-10