Lead Consultant-QA Manual and Automation Tester

Job Title: Data Analytics & Engineering - Data Analyst

Job Description: Summary:
The main function of the Data Engineer is to develop evaluate test and maintain architectures and data solutions within our organization. The typical Data Engineer executes plans policies and practices that control protect deliver and enhance the value of the organization s data assets.

Job Responsibilities:
Design plan and execute data collection studies working closely with research and product teams to gather high-quality biosensor data.
Monitor and maintain the quality and integrity of large datasets implementing robust data validation cleaning and quality custom/specialized monitoring processes for multiple sensor streams (IMU EMG optical sensors etc).
Debug and troubleshoot firmware and software issues related to data collection ensuring reliable data acquisition from hardware sensors.
Execute debug and optimize distributed compute workflows for metric computation and analysis across large datasets.
Build modify and maintain custom/specialized benchmarking tools frameworks and flows for evaluating and comparing model performance on large datasets.
Generate and test hypotheses and analyze and interpret the results of data collection experiments.
Leverage data visualization to help the team make decisions.

Skills:
Experience with hardware sensors data collection infrastructure and data analysis pertaining to real-world human data.
Experience with signal processing pertaining to time domain signals and/or medical imaging systems.
Experience working with and managing large high-dimensional datasets.
2 years of experience performing data extraction manipulation and visualization using Python and SQL.
Strong debugging skills particularly related to data acquisition and firmware/software interfaces.
Experience with Javascript/Typescript for front-end UI development.
Experience with scientific computing and analysis packages such as NumPy SciPy Pandas.
Experience with data visualization libraries such as Matplotlib Pyplot Seaborn ggplot2.


Education/Experience:
Bachelors or Master of Science degree in computer science electrical engineering statistics neuroscience biomedical engineering or other relevant field is required.

MUST Have experience:

coding experience (Python required; SQL strongly preferred)

Some hardware data experience. Sensor data collectionExperience with hardware/sensor data and data collection (e.g. IMU/EMG/optical or similar)

Debugging/troubleshooting ability across software and hardware interfaces with a focus on data quality and reliability.

Nice to Have skills

Additional years/depth of engineering experience beyond the minimum level

Signal processing experience (especially time-domain signals such as EMG/IMU).

Scientific computing experience and experience working with large high-dimensional datasets