Вакансии: Data Science

Join a cybersecurity AI team developing production systems that use large language models, unstructured data, and advanced machine learning to improve security operations.

A data and AI solutions provider is recruiting a Senior Data Scientist for an enterprise ML/AI development team serving a large financial organization. The role focuses on end-to-end model development, advanced data analysis, and translating business challenges into technical solutions. The position

Lead the data science and credit risk function for a fintech business expanding responsible access to financial services. Own ML-powered underwriting, credit decisioning, model governance, portfolio performance, and the roadmap across multiple markets. Build and mentor data scientists and risk teams

Lead technical research and end-to-end delivery for applied data science projects at a healthcare AI company. Own modeling strategy, client delivery, GenAI workflows, and reusable team tooling while remaining a hands-on senior individual contributor.

Join a small engineering team developing a learning-based driving planner. You will evaluate model behavior, investigate failures, and ensure that performance measurements remain accurate as the system evolves.

Join a fast-growing crypto-native iGaming operator as a Data Scientist focused on fraud, AML, player risk and real-time decisioning. You will turn player, payment and on-chain behavior into production models and explainable risk signals.

Join a personalized navigation team developing machine learning solutions for contextual, hyper-local routing experiences. Own models from research through production while partnering with product and engineering teams.

Lead advanced data science and machine learning initiatives for an enterprise AI platform. Own complex problems from ideation through production, shape technical direction, and mentor data scientists in a cross-functional environment.

Half-time, on-site academic research position focused on bioinformatics analysis, computational biology, and collaboration with experimental researchers.

Own the HR AI roadmap and governed data foundation, building AI agents, automations, and self-service data products while advising HR on responsible AI use.