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Cisco

Data Science Analyst

Cisco

Data Science Analyst at Cisco developing software features and AI capabilities for AutoQuote platform. Focused on cloud-native applications and efficient quoting processes.

Posted 7/7/2026full-timeRemote • 🇮🇳 IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Proficient in designing and implementing software features with a strong focus on Python, data processing workflows, and cloud services. Demonstrates expertise in AI tools, CI/CD practices, and containerization technologies to enhance software reliability and operational health.

Highest-signal resume keywords
Python ProficiencyData Pipeline DevelopmentGCP ExperienceAI Tools UtilizationCI/CD Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software EngineeringData Processing WorkflowsSoftware Testing PracticesAgile Development MethodologiesContainerizationKubernetes Familiarity
Soft Skills
CollaborationTechnical FeedbackProblem Solving
Tools & Technologies
PrefectGCPAWSDockerREST APIs
Certifications & Qualifications
Bachelor's Degree in Computer ScienceMaster's Degree in Software Engineering
Industry Keywords
CI/CDCloud-Native ToolingArchitecture ReviewsCode ReviewsProduction Bug Resolution

Tech Stack

Tools & technologies
AirflowAWSCloudDockerGoogle Cloud PlatformKubernetesPython

About the role

Key responsibilities & impact
  • Design and implement software features and enhancements within the AutoQuote application
  • Build and maintain data processing workflows using Prefect, GCP services, and REST APIs
  • Write clean, well-tested code that adheres to team standards and passes CI/CD quality gates
  • Actively use AI tools to accelerate development, generate and validate code, and solve complex engineering problems
  • Participate in architecture and design reviews
  • Collaborate with senior engineers, product management, and QA to translate requirements into robust, testable implementations
  • Lead code reviews for junior engineers and provide constructive technical feedback
  • Investigate and resolve production bugs; contribute to improving system reliability and operational health
  • Stay current on AI frameworks, cloud-native tooling, and engineering best practices

Requirements

What you’ll need
  • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
  • 3–5 years of professional software engineering experience
  • Strong proficiency in Python
  • Experience building and maintaining data pipelines using workflow orchestration tools (Prefect, Airflow, or equivalent) and cloud data services
  • Hands-on experience with GCP and/or AWS
  • Demonstrated ability to use AI tools
  • Solid understanding of software testing practices, CI/CD pipelines, and agile development methodologies
  • Working knowledge of containerization (Docker) and familiarity with Kubernetes

Benefits

Comp & perks
  • Competitive salary
  • Professional development opportunities
  • Health insurance
  • Paid time off
  • Flexible work arrangements
  • Global team events