Senior r&d data scientist

findings in a clear and concise manner to stakeholders through dashboards, reports, and presentationsPerformance Monitoring: Monitor the performance of deployed models and conduct testing to validate their effectivenessCompliance and Security: Ensure all data handling processes comply with regulatory standards and maintain high levels of data security and privacyRequirements Must-haves:4+ years in R&D and Data Science related fieldsDeep Learning Mastery: 4+ years of hands-on experience with neural networks (CNNs, LSTMs or Transformers)From-Scratch Model Development: Proven ability to design and build neural networks from the ground upModel Diagnostics: Skilled in evaluating results and performing deep-dive error analysis to resolve model failuresExperience with statistical software (e.g., R, Python, Tensorflow, pandas, Num Py, scikit-learn) and data management and SQL.Applied experience with large datasets, large is not only in quantityAutonomy & Teamwork, Seniority to execute end-to-end

projects with minimal supervision, while facilitating seamless collaboration between different Idoven departments to streamline work and achieve company goalsComfortable working in both English & Spanish, with the ability to communicate technical concepts to all stakeholdersPreferred qualificationsClinical Expertise: Experience in ECG processing and electrophysiology, including general interpretation and knowledge.Signal Processing Expert: it's a field where "you have no secrets. "Education: Master's in a quantitative field (e.g., Physics, Engineering, Stats, CS or similar); Ph D in a bioengineering and/or quantitative discipline is highly preferredExperience articulating and translating business questions and using statistical techniques to arrive at an answer using available dataStatistical Precision: Demonstrated skill in selecting the optimal tools and frameworks for specific data analysis challengesStrong communication skills, with a proactive drive to teach

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