Job Description:
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:
● 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.
● Provide data visualization support 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
● Experienced in either programming languages such as Python and/or R, big data tools such as Hadoop, or data visualization tools such as Tableau.
● Experience presenting findings from statistical and machine learning methods to diverse audiences
● Experience working with large datasets.
● 3+ years of experience applying statistical and machine learning techniques such as hypothesis testing, time series analysis, classification, regression, and clustering to problems involving sensors and/or transducers.
● 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, or in a relevant field.
This is the pay range that the employer reasonably expects to pay for this position $60.13/hour - $83.24/hour
Optional Benefits: Medical, Dental, Vision, 401K
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