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Veterans Sourcing Group, LLC · 2 months ago

Data Science - UI/Human Factors Engineer 3

Sunnyvale, CA

Full-time

Onsite

Senior Level

6+ years exp

Veterans Sourcing Group, LLC is seeking a Data Science - UI/Human Factors Engineer 3 to contribute to product development through data science related to human subjects' research. The role involves building experimental conditions, developing bioinstrumentation, and analyzing large datasets to inform product design strategies.

Human ResourcesRecruitingStaffing Agency

Work & Life Balance

Responsibilities

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

Qualification

Data sciencePythonETL processesBioinstrumentationHuman-Computer InteractionUser-centered designVerbal communicationCollaboration skills

Required

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