Data Science Researcher
What you will do:
As a part of a larger team, help to build products(s) that protect users' privacy and identity
Assess identity and privacy risks that users are facing on a daily basis, identify signals/features that indicate the risk level, design alerting and risk scoring mechanisms, design risk mitigation mechanisms
Learn and research new technologies rapidly, assessing privacy exposures, and suggesting mitigations
Designing, developing, testing, and deploying privacy-enhancing solutions to address real-world privacy concerns, e.g. data anonymization or threat evaluation.
Working with existing ones and developing new Machine Learning PoCs, turning them into the production-ready ML pipelines
MLOps, communication with our internal data platform team and engineers from product teams.
What we expect from you:
Analytical and problem-solving skills with attention to details
Proven experience in Artificial Intelligence (Data Mining, Natural Language Processing, Image Classification, Distributed Systems or related field).
Hands-on experience with Big Data frameworks (Spark, Hive)
At least 2 years of experience in coding with one of the languages: Python, R, C/C++, or Java.
Hands-on experience in building the interfaces around the model, building ML pipelines (developing packages, automated workflows, REST APIs, database queries, etc.)
Hands-on experience with Docker, Kubernetes, AWS is a plus.
Basic knowledge in privacy/cybersecurity is a plus.
Fluent in English
Ability to solve complex problems independently
Strong collaboration, communication, and organizational skills
Presentation, and visualization skills.