Synapse Technology provides an artificial intelligence platform for the hundreds of thousands of security checkpoints around the world, including airports, office buildings, and others. Today, screeners running checkpoints miss most threats, providing minimal security. Human operators face massive cognitive challenges and are unfortunately the only barrier that can prevent a dangerous item from getting through a checkpoint.
Our AI platform processes these X-Rays in real time to automatically detect firearms, knives and other threats. This automated screening solution reduces the reliance on human operators for screening. Our technology drives innovation into a stagnant industry, with a unique ability to have a high impact in a short amount of time on a global scale. We work closely with senior government stakeholders worldwide, and our systems are currently deployed at international airports across the world in Japan, Sweden, and other countries. To date, millions of passengers have been secured by Syntech ONE™.
The Role – Data Scientist
We collect a lot of data. To date we have over 10 million images from various deployments in the field in several countries. We have over 400,000 labeled ground truth examples of threats, and many more data points of where the AI and an operator disagreed. We are also starting to gather every decision that an operator makes - when they zoom in, what they highlight as suspicious, etc.
As a Data Scientist, you would contribute insights that would be core to the product itself and help improve our core algorithms. You would also sift through data to help customers understand their own facilities better and how Syntech ONE impacts operations. You would assist in generating data that would go into written reports delivered to customers after trials, and periodically for ongoing deployments.
Analyze the training and test images to understand the nuance differences between all the image statistics and their impact on the model performance - the goal of this effort is to improve the detection rate and FPs and eventually build a more robust model that supports multiple x-ray machines
Build an analytics dashboard - a huge project and potentially a standalone product that helps us (and clients) get deeper insights on their security facility
Explore data to uncover trends, patterns, and quantifiable impacts that our system has at a particular deployment.
WHAT WE ARE LOOKING FOR:
3+ years of industry experience in data science
Expert knowledge of scientific computing in Python and SQL
Strong knowledge of statistics (clustering, regression, etc.) and experimental design
Experience working with machine learning algorithms (supervised and unsupervised learning)
Familiarity with traditional image processing techniques
WHAT WOULD REALLY IMPRESS US:
Expertise with Jupyter notebooks and Pandas
Comfortable setting up and using BI tools
Experience with ETL tools and building / maintaining a data warehouse