Are you passionate about transforming data into actionable insights Were seeking a talented Data Engineer to craft evaluate and maintain innovative data architectures and this pivotal role youll develop and execute strategies that safeguard optimize and unlock the full potential of our organizations data assets. If youre ready to make a significant impact through cutting-edge data engineering we want to hear from you!
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 of real-world human data.
- Experience with signal processing of 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 and Pandas.
- Experience with data visualization libraries such as Matplotlib Pyplot Seaborn and ggplot2.
Education/Experience:
- A bachelors or Master of Science degree in computer science electrical engineering statistics neuroscience biomedical engineering or other relevant field is required.
Benefits:
- 401(k).
- Dental Insurance.
- Health insurance.
- Vision insurance.
- We are an equal-opportunity employer and value diversity equality inclusion and respect for people.
- The salary will be determined based on several factors including but not limited to location relevant education qualifications experience technical skills and business needs.
Additional Responsibilities:
- Participate in OP monthly team meetings and participate in team-building efforts.
- Contribute to OP technical discussions peer reviews etc.
- Contribute content and collaborate via the OP-Wiki/Knowledge Base.
- Provide status reports to OP Account Management as requested.
About us:
At OP we help you harness the power of technology for maximum impact. A technology consulting and solutions company we offer advisory and managed services innovative platforms and staffing solutions across a wide range of fields including AI cyber security enterprise architecture and beyond. For nearly two decades weve been challenging the status quo of the consulting industry serving up fresh ingenious thinking through a radically lean structure. Together this strategy delivers unprecedented performance at an unparalleled pace for faster results that propel your business forward.
Are you passionate about transforming data into actionable insights Were seeking a talented Data Engineer to craft evaluate and maintain innovative data architectures and this pivotal role youll develop and execute strategies that safeguard optimize and unlock the full potential of our organizatio...
Are you passionate about transforming data into actionable insights Were seeking a talented Data Engineer to craft evaluate and maintain innovative data architectures and this pivotal role youll develop and execute strategies that safeguard optimize and unlock the full potential of our organizations data assets. If youre ready to make a significant impact through cutting-edge data engineering we want to hear from you!
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 of real-world human data.
- Experience with signal processing of 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 and Pandas.
- Experience with data visualization libraries such as Matplotlib Pyplot Seaborn and ggplot2.
Education/Experience:
- A bachelors or Master of Science degree in computer science electrical engineering statistics neuroscience biomedical engineering or other relevant field is required.
Benefits:
- 401(k).
- Dental Insurance.
- Health insurance.
- Vision insurance.
- We are an equal-opportunity employer and value diversity equality inclusion and respect for people.
- The salary will be determined based on several factors including but not limited to location relevant education qualifications experience technical skills and business needs.
Additional Responsibilities:
- Participate in OP monthly team meetings and participate in team-building efforts.
- Contribute to OP technical discussions peer reviews etc.
- Contribute content and collaborate via the OP-Wiki/Knowledge Base.
- Provide status reports to OP Account Management as requested.
About us:
At OP we help you harness the power of technology for maximum impact. A technology consulting and solutions company we offer advisory and managed services innovative platforms and staffing solutions across a wide range of fields including AI cyber security enterprise architecture and beyond. For nearly two decades weve been challenging the status quo of the consulting industry serving up fresh ingenious thinking through a radically lean structure. Together this strategy delivers unprecedented performance at an unparalleled pace for faster results that propel your business forward.
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