Cisco

6 days ago

Senior Data Scientist and Solution Architect

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Lead the architectural direction and development of AI/ML solutions for Cisco’s Supply Chain Transformation team. Translate ambiguous supply chain problems into measurable outcomes by building predictive analytics, LLM-powered applications, and agentic workflows. Own experimental design, model evaluation, and statistical validation, and partner with AI engineers to integrate solutions from research to production while piloting cutting-edge methods like RAG, fine-tuning, and graph analytics.

Location: Bengaluru

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Translate business objectives into scalable, rigorous data science projects.
•Architect and deploy predictive analytics, LLM-powered applications, and agentic workflows.
•Ensure methodological rigor across experimental design, model evaluation, and statistical validation.
•Partner with AI engineers to integrate models from research to production.
•Pilot new methodologies (e.g., RAG, fine-tuning, graph analytics) and provide mentorship and governance for ethics, bias mitigation, and interpretability.

Key Requirements

•Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field.
•7–10 years of professional experience in data science/analytics with demonstrated expertise in statistical analysis.
•Proven ability to apply correlation analysis and advanced statistical techniques in a business context.
•Hands-on experience building and deploying LLM-powered applications in production, including agentic workflows.
•Expert-level proficiency in Python and SQL, plus experience designing end-to-end data pipelines for production AI systems.

Experience:7-10 years

Education:Bachelor's

Skills:CommunicationProblem-solvingAttention to detailSelf-drivenMentorship

Tech Stack:PythonPandasScikit-learnPyTorchTensorFlowSQLSparkSnowflakeLLM-powered applicationsAgentic AI systemsAutonomous workflowsMulti-agent orchestrationMCP (Model Context Protocol)A2A (Agent-to-Agent)RAG pipelinesEmbeddingsRetrieval strategiesRerankingContext managementVector databases

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

Glassdoor: 4.0

Website LinkedIn Glassdoor

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Cisco

6 days ago

Senior Data Scientist and Solution Architect

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Location: Bengaluru

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Translate business objectives into scalable, rigorous data science projects.
•Architect and deploy predictive analytics, LLM-powered applications, and agentic workflows.
•Ensure methodological rigor across experimental design, model evaluation, and statistical validation.
•Partner with AI engineers to integrate models from research to production.
•Pilot new methodologies (e.g., RAG, fine-tuning, graph analytics) and provide mentorship and governance for ethics, bias mitigation, and interpretability.

Key Requirements

•Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field.
•7–10 years of professional experience in data science/analytics with demonstrated expertise in statistical analysis.
•Proven ability to apply correlation analysis and advanced statistical techniques in a business context.
•Hands-on experience building and deploying LLM-powered applications in production, including agentic workflows.
•Expert-level proficiency in Python and SQL, plus experience designing end-to-end data pipelines for production AI systems.

Experience:7-10 years

Education:Bachelor's

Skills:CommunicationProblem-solvingAttention to detailSelf-drivenMentorship

Company Brief

Cisco

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

Glassdoor: 4.0

Website LinkedIn Glassdoor