Data Scientist

About this role

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Skills you'll use

What you'll do

• Translate complex business objectives into scalable and rigorous data science and AI/ML solutions .
• Develop and deploy advanced AI/ML models, including predictive analytics, LLM-powered applications, and Agentic AI workflows .
• Apply advanced statistical methods, experimental design, model evaluation, and statistical validation to ensure methodological rigor.
• Build solutions using supervised and unsupervised learning, time-series analysis, optimization, and statistical modeling .
• Design and develop RAG pipelines , including embeddings, retrieval strategies, reranking, context management, and evaluation.
• Develop and optimize LLM-powered applications , including prompt engineering, structured outputs, guardrails, and workflow optimization.
• Explore emerging AI methodologies such as Agentic AI, multi-agent orchestration, tool calling, graph analytics, and LLM fine-tuning .
• Partner with AI Engineers and technology teams to transition data science solutions from experimentation into production.
• Design end-to-end data pipelines and AI solutions that are scalable, reliable, and production-ready.
• Work with large-scale structured, unstructured, and multi-modal datasets to generate actionable insights.

Who can apply

• Design end-to-end data pipelines and AI solutions that are scalable, reliable, and production-ready.
• Work with large-scale structured, unstructured, and multi-modal datasets to generate actionable insights.
• Apply MLOps practices to support model deployment, monitoring, lifecycle management, and continuous improvement.
• Drive innovation by evaluating emerging AI/ML technologies and identifying opportunities to apply them to supply chain challenges.
• Ensure solutions follow enterprise standards for responsible AI, ethics, bias mitigation, interpretability, and reproducibility .
• Communicate complex analytical findings clearly and translate them into actionable recommendations for business and non-technical stakeholders.
• Mentor team members and contribute to a culture of technical excellence, collaboration, and continuous learning.
• Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science , or a related quantitative discipline.

About Cisco

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