Gateway Recruiting - Gateway to Global Careers - Contingent, Retained, Contract Recruiting Services
Medical Device - Trade Compliance - Computer Security/Forensics - Technology - Pharmaceuticals - Engineering - Operation
Forensics • Medical Device Recruiting • Cardiac Rhythm Management Recruiting • Structural Heart Recruiting • ESI Recruiting
51 - 200
Principal Data Scientist
June 15
🏢 In-office - Bay Area
Gateway Recruiting - Gateway to Global Careers - Contingent, Retained, Contract Recruiting Services
Medical Device - Trade Compliance - Computer Security/Forensics - Technology - Pharmaceuticals - Engineering - Operation
Forensics • Medical Device Recruiting • Cardiac Rhythm Management Recruiting • Structural Heart Recruiting • ESI Recruiting
51 - 200
Description
• Design, develop and optimize predictive models using machine learning to solve complex (clustering, classification, regression, simulation, and optimization) problems on large-scale data sets, which ultimately optimizes and increases clinical outcomes • Stay up to date with the latest advancements in machine learning research and implement relevant technologies to deliver state of the art data science solutions • Collaborate with external partners, academic institutions, and healthcare providers to access additional data sources and research opportunities
Requirements
• Master’s Degree in Data Science, Computer Science, Statistics, or a related field • 8-10 years of experience in a relevant industrial or academic setting • Experience in the Life Science Industry • Proven expertise in data science methodologies and statistical techniques • Strong knowledge of core machine learning concepts, algorithms, and techniques • Strong hands-on experience and expertise in large-set data analysis, data cleaning, wrangling, feature engineering, and model evaluation • Advanced proficiency in programming languages such as (R / Python / Java / C#), SQL • Advanced proficiency with machine learning frameworks such as Keras, PyTorch, or Tensorflow and libraries such as numpy, scikit-learn, scipy and statsmodel • Strong problem-solving and critical thinking skills • Excellent written and verbal communication skills to convey complex technical concepts and findings to non-technical stakeholders and collaborate effectively across teams
Benefits
• 11 paid holidays • Generous Accrued Time Off increasing with years of service • Generous paid sick time • Annual day of service
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