Description

Drive advanced data science initiatives using complex hardware sensor and medical imaging data sources. You will extract, manipulate, and visualize large datasets to solve real-world problems.

This role is on-site.

Responsibilities

• Analyze real-world data, focusing on hardware sensors and signal processing for time domain signals or medical imaging systems.
• Extract, manipulate, and visualize large datasets using Python, R, MATLAB, or SQL.
• Present statistical and machine learning findings clearly to diverse technical and non-technical audiences.
• Apply strong knowledge of data structures and algorithms to solve complex engineering problems.

Required Skills

• 5+ years of experience performing data extraction, manipulation, and visualization.
• Proficiency in Python, R, MATLAB, SQL, NumPy, SciPy, Pandas, and SciKit-learn.
• Experience analyzing data pertaining to hardware sensors and real-world data.
• Experience with scientific computing and analysis packages such as NumPy, SciPy, Pandas, SciKit-learn.
• Experience visualizing data using libraries like Matplotlib, Pyplot, seaborn, or ggplot2.
• Strong grasp of data structures and algorithms.
• Master of Science or PhD in computer science, statistics, neuroscience, biomedical engineering, or a relevant field.

Key Skills

Education

Any Graduate