Lead Data Scientist
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Job Description
Lead Data Scientist developing AI and Machine Learning solutions for Hyatt Hotels. Collaborating with cross-functional teams to optimize guest, colleague, and operational experiences.
Responsibilities:
- Own the design, development, evaluation, and optimization of AI and Machine Learning solutions that support Hyatt’s guest, colleague, and operational experiences.
- Design, prototype, and productionize Generative AI solutions in NL Search, Information Retrieval and Recommender Systems.
- Build and evaluate LLM-powered applications, including retrieval-augmented generation, prompt engineering, fine-tuning, embeddings, semantic search, and agentic or workflow-based AI systems.
- Develop robust model evaluation frameworks, including offline metrics, human evaluation, guardrail testing, bias and safety checks, and business-impact measurement.
- Partner with ML engineering and data engineering teams to deploy scalable real-time inference pipelines and batch processing workflows.
- Mentor data scientists and ML practitioners through design reviews, code reviews, modeling best practices, and knowledge sharing.
- Collaborate with ML engineering to productionize models and Gen AI services using AWS-native tools and modern MLOps practices.
Requirements:
- Master’s degree in computer science, Software Engineering, or related field. Ph.D preferred.
- 6+ years of experience in machine learning roles focused on areas such as NLP/NLU, reinforcement learning or LLM applications, including 3+ years of people management experience in a tech leadership role.
- Experience in fine-tuning and deploying LLMs or other Generative AI solutions to production.
- Expertise in AWS cloud services (e.g., SageMaker, ECS/EKS, Step Functions, Lambda, Glue).
- Strong programming skills in Python, with experience in SQL, PySpark, and containerization (e.g., Docker).
- Proven experience designing scalable data pipelines and ML systems for both real-time and batch inference.
- Deep understanding of responsible AI practices, CI-CD pipelines, Agile development practices, and model lifecycle management.
- Excellent interpersonal and communication skills, with a strong bias for action and collaboration.
- Familiarity with ML observability and governance tools.
Benefits:
- Annual allotment of free hotel stays at Hyatt hotels globally
- Flexible work schedule
- Work-life benefits including wellbeing initiatives such as a complimentary Headspace subscription, and a discount at the on-site fitness center
- A global family assistance policy with paid time off following the birth or adoption of a child as well as financial assistance for adoption
- Paid Time Off, Medical, Dental, Vision, 401K with company match
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