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Manager I, Data Scientist
Kroll
Hyderabad, IND
Manager · 2+ years experience
Onsite
Discovered 1 weeks ago
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Responsibilities
- Lead, mentor, and grow a team of junior, intermediate, and senior data scientists — setting technical direction, enabling individual development, and cultivating a high-performance team culture
- Own the end-to-end data science roadmap: prioritise initiatives, manage delivery, and communicate progress and impact to senior leadership and clients
- Partner with product, engineering, and business stakeholders to define problems, scope ML solutions, and translate data science capabilities into measurable business outcomes
- Provide technical oversight across the full ML lifecycle — from problem framing and data validation through model design, experimentation, production deployment, and monitoring
- Establish and uphold team standards around code quality, experimentation rigour, model governance, and responsible AI practices
- Drive adoption and evolution of ML infrastructure on Databricks and Azure (Azure AI Foundry, Azure OpenAI, AKS), including MLOps practices such as CI/CD, model versioning, and drift detection
- Champion LLM and generative AI initiatives — including RAG architecture, prompt engineering, fine-tuning, and agentic frameworks — ensuring they are evaluated rigorously and deployed responsibly
- Recruit and retain top data science talent; lead hiring, onboarding, and performance management processes
- Represent data science internally and externally, communicating technical concepts and tradeoffs clearly to both technical and non-technical audiences
Requirements
- Advanced degree (MS or PhD) in computer science, statistics, mathematics, data science, or a related quantitative field
- 7+ years of applied data science or machine learning experience, including at least 2 years in a people management or technical lead capacity
- Proven track record of delivering ML solutions to production and driving measurable business impact
- Strong Python skills and fluency with the modern ML stack (scikit-learn, PyTorch or TensorFlow, Hugging Face Transformers, pandas)
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