Senior Data Scientist

Responsibilities

• Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets
• Contribute to biosensor data analysis and guide future biosensing R&D
• Execute, debug, and optimize distributed compute workflows for metric computation, analysis, and modeling across large datasets
• Apply statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns and support prototype biosensor development and product improvement
• Design, develop, and evaluate predictive models and advanced algorithms for value extraction from biosensor data
• Generate and test hypotheses and interpret results of product experiments
• Collaborate with engineers to translate prototypes into products, services, and features and provide guidelines for large-scale implementation
• Use data visualization to support decision-making for future R&D directions

• Experience with hardware sensors and analysis of real-world data
• Experience with signal processing for time-domain signals and/or medical imaging systems
• Experience presenting findings from statistical and machine learning methods to diverse audiences
• Experience working with large datasets
• Experience performing data extraction, manipulation, and visualization using programming languages such as Python, R, MATLAB, or SQL
• Proficiency in data structures and algorithms
• Experience with scientific computing and analysis packages such as Num Py, Sci Py, Pandas, Scikit-learn, dplyr, caret
• Experience with data visualization libraries such as Matplotlib, Pyplot, seaborn, ggplot2
• Master of Science or PhD in computer science, statistics, neuroscience, biomedical engineering, or related field