Senior Data Scientist- Network Analytics Reliability Enablement Team

Senior Data Scientist- Network Analytics Reliability Enablement Team

  • Total Experience : 5 to 10 Years
  • No of Openings : 1
  • Type : On site
  • Location : NOIDA [INDIA]
  • Job Post Date : 16/01/2025

About the Job

We are seeking a Senior Data Scientist for Network Analytics Reliability Enablement Team (NARE). This role will be responsible for architecture and development of analytics applications for the Service Health platform. As a Data Science application developer, you act as a cross breed between a data scientist and an application developer; delivering scalable infrastructure which can both run new data science models, and also facilitate the onboarding of additional models across the organization.  This role will play a central part in the ongoing design and build of data models, core platform infrastructure, data integration layers, graph database algorithms, and AWS development.

Education Requirements

  • Bachelor’s degree in a related discipline.

Skills Requirements

  • 4 years of Python, Java, or C# experience.
  • 2 years of cloud experience in a software engineering or data science capacity.
  • 1 year experience with big data systems like Hive, Athena, or Big Query.

Experience Requirements

  • Experience with analytics application design and development.
  • Good communication skills. The ability to comprehend and communicate advanced technical topics to non-technical business partners.
  • Experience with source code version control software, like Git or Bitbucket, and CICD pipelines like Jenkins.
  • Experience with in-memory storage solutions like DynamoDB or Redis.

Preferred:   

  • 6 years software engineering experience.
  • Knowledge and experience with specific AWS Services like Lambda, Step function, CloudWatch, EventBridge, EC2, EMR, RedShift, SQS, RDS, IAM, or Kubernetes.
  • Experience within the telecommunications industry, cable industry or consulting.
  • Experience in automated test design and implementation Experience in data store selection for large-scale applications (high data volume and/or high read/write).
  • AWS Neptune experience.

Role & Responsibilities

Analytics Application Architecture:

  • Identify or design repeatable patterns for implementing analytics application use cases.
  • Plan and document key logic paths, service architecture, and data stores for new use cases.
  • Review of existing services for maintainability, scalability, and opportunities for complexity reduction.
  • Design with a bias towards observability, reusability, testability, and scale.

Development:

  • Develop analytics applications using industry best practices for design, development, and testing. Make recommendations where needed for tools, services, and ways of working.
  • Work in the AWS eco system to architect scale-able and maintainable solutions.
  • Implement quality unit testing strategies, end to end testing, and A/B testing approaches.
  • Build advanced data models to interpret signal data and network infrastructure.
  • Solve complex problems using top notch software development skills.

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