Computer Science Jobs 2026 (Now Hiring) – Smart Auto Apply
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Senior Manager Of Data Science
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Overview
Job Description
- Lead and mentor a team of Data Scientists and ML Engineers
- Define and execute strategic AI initiatives and roadmaps
- Drive applied research with a strong focus on production deployment
- Build scalable evaluation frameworks, benchmarking pipelines, and feedback systems
- Develop and deploy AI-powered solutions using LLMs, RAG pipelines, and agentic workflows
- Design production-grade machine learning systems and reusable AI components
- Collaborate across teams to maximize reusability and reduce duplication
- Contribute hands-on through coding, prototyping, experimentation, and model development
- Establish best practices for model evaluation, monitoring, prompt engineering, and feature engineering
- Partner with engineering and product teams to integrate AI into distributed systems
- Translate complex business requirements into scalable technical solutions
- Present technical tradeoffs and delivery options to stakeholders
- Support continuous delivery and monitoring of AI systems in production environments
- Drive cross-functional collaboration with product, engineering, data, and business teams
- Bachelor’s degree in Computer Science, Data Science, Statistics, AI, or related field
- Advanced degree (Master’s or PhD) preferred
- 8+ years of experience in Data Science, Machine Learning, or Applied AI
- 4+ years of leadership or team management experience
- Strong experience with Python and ML/LLM frameworks such as TensorFlow, PyTorch, LangChain, and Google ADK
- Experience with prompt engineering and generative AI technologies
- Strong understanding of Retrieval-Augmented Generation (RAG) systems and agentic workflows
- Experience with structured and unstructured data processing at scale
- Familiarity with vector databases, knowledge graphs, and hybrid retrieval architectures
- Experience designing data pipelines and machine learning workflows
- Knowledge of REST APIs, CI/CD, containerization, and model serving tools
- Cloud experience with AWS preferred; Azure or GCP acceptable
- Familiarity with AI coding tools such as GitHub Copilot, Claude Code, or OpenAI Codex
- Experience in legal technology, legal AI, or document-intensive industries
- Strong understanding of ethical and responsible AI practices
- Proven experience building scalable AI platforms and production ML systems
- Ability to lead through both technical expertise and organizational influence
- Strong communication, collaboration, and stakeholder management skills
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