Data Scientist IV - Biosensors
SGS Consulting
Location (mandatory): New York, NY (Onsite) Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, and make valuable discoveries leading to prototype biosensor development and product improvement. Job Responsibilities: Execute, debug, and optimize distributed compute workflows for metric computation, analysis, and modeling across large datasets. Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the biosensor data. Generate and test hypotheses and analyze and interpret the results of product experiments. Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation. Leverage data visualization to help the team make decisions about future R&D directions to go. Skills: Experience with hardware sensors and real-world data analysis Direct experience working with biosensors or similar hardware and analyzing the resulting data. Signal processing expertise Ability to process time domain signals and/or medical imaging systems, which is crucial for biosensor data. Advanced programming and data manipulation 3+ years of hands-on experience with Python, R, MATLAB, or SQL for data extraction, manipulation, and visualization, including proficiency with scientific computing and analysis packages (NumPy, SciPy, Pandas, Scikit-learn, etc.). Education/Experience: Master's or PhD SGS Consulting
Vacancy posted 2 days ago
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