Data Scientist IV (Hardware Sensors, biosensor data analysis)

American IT Systems • New York City, NY

4d • Onsite

About The Position

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.

Requirements

• 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.

Nice To Haves

• Experience presenting findings from statistical and machine learning methods to diverse audiences.
• Proficiency in data structures and algorithms.
• Experience with data visualization libraries (Matplotlib, Pyplot, seaborn, ggplot2).
• Experience working with large datasets.
• Familiarity with scientific computing and analysis packages (dplyr, caret).
• Advanced degree (Master's or PhD) in computer science, statistics, neuroscience, biomedical engineering, or related field.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior