Data Science - UI/Human Factors Engineer 3
Veterans Sourcing Group
Mountain View, CA
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JOB DETAILS
LOCATION
Mountain View, CA
POSTED
30+ days ago
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
- 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.
- Minimum BS in Mechanical Engineering, Computer Science, Psychology, Biomechanics with emphasis on Human-Computer Interaction, Robotics, or a related field.
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
About the Company
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