- Collaborate closely with Data Science and Research teams to enhance user metrics by developing innovative and creative algorithms.
- Monitor and ensure the proper functioning of algorithms across our diverse user population, addressing any issues related to data and data quality.
- Validate wearable technology in clinical settings, analyze biomedical data, and prepare comprehensive reports for cross-functional teams.
- Participate in software development, debugging, and validation processes to ensure code and results are production-ready.
- Contribute to ongoing research efforts and explore new features to improve the overall performance of our products.
- Utilize expertise in signal processing and time-series analysis to analyze biosensor systems and optimize their performance.
- Create and implement mathematical models and machine learning algorithms for processing big data and extracting valuable insights.
QUALIFICATIONS:
- Bachelor's or Master's degree in applied mathematics, statistics, electrical engineering, biomedical engineering, or a related field.
- A minimum of 2 years of industry or research experience in signal processing and/or machine learning.
- Strong experience with biosensor systems and analyzing biomedical data.
- Experience developing back-end tools for data processing and analysis.
- Proficiency in C and/or Python programming languages.
- Knowledge of adaptive signal processing and time-series analysis.
- Solid understanding of statistical methods and experience in designing clinical studies.
- Familiarity with machine learning libraries such as scikit-learn, Tensorflow, PyTorch, Keras, etc.
- Excellent communication skills, both written and oral, to effectively convey complex technical concepts to diverse teams.
- Demonstrated ability to think innovatively and adapt to changing requirements while consistently producing high-quality reports within tight deadlines.
- Nice to have: Experience with version control systems (e.g., Git), CI/CD pipelines and cloud computing platforms (e.g., AWS)
WHOOP focuses on Analytics, Sports, Fitness, Industrial, and Corporate Wellness. Their company has offices in Boston. They have a mid-size team that's between employees. To date, WHOOP has raised $102.751M of funding; their latest round was closed on November 2019.
You can view their website at or find them on Twitter, Facebook, and LinkedIn. -
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