As an early Data Scientist at Watchtower, you’ll design & implement models that enable us to detect sensitive data with high accuracy across petabytes of heterogeneous & unstructured data.
Responsibilities:
- Conduct state of the art research in natural language processing, deep learning, and machine learning.
- Selecting and engineering features based on mining massive data sets.
- Prototyping & testing algorithms to innovate state of the art detectors of sensitive information.
- Building, training, tuning a variety of machine learning & deep learning models.
- Enhancing data collection procedures to include information that is relevant for building state-of-the-art detectors.
- Productionize data science models and collaborate closely with data engineering & product team to establish a feedback loop.
Ideal Qualifications:
- BS, MS or PhD in Computer Science, machine learning, NLP, deep learning, AI or a related technical field.
- Strong software engineering skills across multiple languages including but not limited to Python, Javascript, etc.
- Experience building one of the following production systems in industry: natural language processing, bayesian models, information retrieval, learning to rank, recommender systems, speech recognition, unsupervised learning.
- Good mathematical understanding of popular NLP and/or machine learning algorithms.
- Hands-on experience with NLP tools, libraries, and corpora.
About Watchtower:
Watchtower is a cybersecurity startup dedicated to helping enterprises secure and manage their sensitive data. As a leading enterprise technology company, our product affects the personal data that people entrust businesses to store & process with care every day. Critical data in the modern enterprise is often sprayed across a broad set of cloud systems (e.g. SaaS & data infrastructure), and it’s a herculean task for security teams to monitor, manage, and protect this highly sensitive data. Via machine learning, our product makes it easy for companies to discover, classify, and protect this sensitive data across their cloud footprint - such as their corporate SaaS, data infrastructure, and APIs. In doing so, we prevent data leakage, provide unprecedented data visibility & protection across the cloud, and enable compliance. We're a technology startup based in San Francisco and Palo Alto, well-funded by leading institutional investors with deep expertise in the cybersecurity industry. Learn more at our website
www.watchtower.ai or by reaching out via email at
careers@watchtower.ai.