Data Scientist

Cisco
Bengaluru
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 7-10 yearsEducation: bachelorsSkills: ["Communication","Problem-solving","Collaboration","Stakeholder-management","Mentoring"]

Design and develop high-impact AI/ML solutions for complex component supply chain challenges. Translate ambiguous business objectives into rigorous, production-ready data science systems using predictive analytics, LLM-powered applications, and agentic workflows. Build RAG pipelines, time-series and optimization models, and scalable data pipelines. Partner with AI engineers and stakeholders to move from experimentation to deployment, apply MLOps for monitoring and lifecycle management, and ensure responsible AI standards.

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FursaFursa
Cisco
Cisco
4 days ago

Data Scientist

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live
Reposted: similar role first listed 5 months ago

Job Summary

Design and develop high-impact AI/ML solutions for complex component supply chain challenges. Translate ambiguous business objectives into rigorous, production-ready data science systems using predictive analytics, LLM-powered applications, and agentic workflows. Build RAG pipelines, time-series and optimization models, and scalable data pipelines. Partner with AI engineers and stakeholders to move from experimentation to deployment, apply MLOps for monitoring and lifecycle management, and ensure responsible AI standards.
Location: Bengaluru
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Translate complex business objectives into scalable, rigorous data science and AI/ML solutions.
  • •Develop and deploy advanced AI/ML models, including predictive analytics, LLM-powered applications, and agentic AI workflows.
  • •Design and build RAG pipelines and LLM application components, including embeddings, retrieval strategies, reranking, and evaluation.
  • •Build end-to-end data pipelines and production-ready AI/ML solutions using large-scale structured, unstructured, and multi-modal datasets.
  • •Apply MLOps practices to support model deployment, monitoring, lifecycle management, and continuous improvement while ensuring responsible AI standards.

Key Requirements

  • •Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative discipline.
  • •7–10+ years of professional experience in Data Science, Advanced Analytics, Machine Learning, or a related field.
  • •Expert proficiency in Python and SQL and strong statistical methods for solving business problems.
  • •Strong experience with supervised/unsupervised ML, time-series analysis, and optimization techniques.
  • •Hands-on experience developing and deploying AI/ML models and LLM-powered applications in production, including RAG pipelines and MLOps.
Experience:7-10 years
Education:Bachelor's
Skills:CommunicationProblem-solvingCollaborationStakeholder-managementMentoring
Tech Stack:PythonSQLMachine learningLLMRAGEmbeddingsVector databasesPrompt engineeringAgentic AIMulti-agent orchestrationTool callingGraph analyticsTime-series analysisOptimizationMLOpsSnowflake

Company Brief

Cisco
Global technology company that designs, manufactures, and sells networking hardware, telecommunications equipment, and high-technology services and products for enterprises, service providers, and governments worldwide.
Industry: Networking Equipment
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Jose, United States
Founded: 1984
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Glassdoor: 4.0
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