Manager, Data Science

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Описание

Job Description Thomson Reuters is expanding its Data Science and AI organization and is looking for a Manager to lead a team building intelligent products and automation. You will own the full lifecycle of ML and GenAI solutions, from problem framing to production deployment and operation. The work spans traditional machine learning and modern GenAI systems, including LLM applications, RAG, agents, and multi-agent platforms. You will set technical direction, develop your team, and partner with business stakeholders to deliver measurable impact. Key Responsibilities Problem framing and solution design Translate business problems into well-scoped data science and AI use cases with clear hypotheses, success metrics, and value estimates. Lead the design and development of ML and GenAI solutions, including predictive models, LLM applications, RAG, and agents, from exploration through validated prototype. Partner with engineering to move solutions into production by defining model requirements, performance thresholds, and monitoring and retraining needs. Evaluation and impact measurement Define evaluation frameworks for classical models and LLM and agent solutions, covering accuracy, groundedness, safety, and regression. Design experiments and pilots, including A/B tests, to measure business impact and adoption, and use results to guide iteration and prioritization. Analyze post-launch model and agent performance, including quality, drift, and cost signals, and recommend improveme

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