Data Scientist IV

Creospan is a growing tech collective of makers, shakers, and problem solvers, offering solutions today that will propel businesses into a better tomorrow. “Tomorrow’s ideas, built today!” In addition to being able to work alongside equally brilliant and motivated developers, our consultants appreciate the opportunity to learn and apply new skills and methodologies to different clients and industries. • • • • • • NO C2C/3RD PARTY, LOOKING FOR W2 CANDIDATES ONLY, must be able to work in the US without sponsorship now or in the future • • • Summary: The main function of the Data Scientist is to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. The Data Scientist will contribute to biosensor data analysis and help to guide future biosensing R&D. Job Responsibilities: • Execute, debug, and optimize distributed compute workflows for metric computation, analysis, and modeling across large datasets. • 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. • 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 data analysis pertaining to real-world data. • Experience with signal processing pertaining to 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. • 3+ years of experience performing data extraction, manipulation, and visualization using programming languages (e.g., Python), scientific computing languages (e.g., R, MATLAB), or SQL. • Proficiency in data structures and algorithms. • Experience with scientific computing and analysis packages such as NumPy, SciPy, Pandas, Scikit-learn, dplyr, caret. • Experience with data visualization libraries such as Matplotlib, Pyplot, seaborn, ggplot2. Education/Experience: • Master of Science or PhD degree in computer science, statistics, neuroscience, biomedical engineering, or other relevant field.