Domain Architect - Data Science

15 - 20 years

18 - 22 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

As a Senior Data Scientist focusing on Autonomous Networks at Nokia, you will be a key player on a dynamic team dedicated to revolutionizing telecom services through AI and machine learning. You will work closely with cross-functional teams, including engineers, product managers, and executive stakeholders, to design and implement cutting-edge data-driven solutions tailored for Communication Service Providers. You will engage directly with customers to understand their needs and drive the deployment of scalable AI/ML use cases that enhance network efficiency and performance.

HOW YOU WILL CONTRIBUTE AND WHAT YOU WILL LEARN

  • Design, develop, and deploy AI/ML solutions for Autonomous Networks (AN).
  • Build and manage cognitive data products for large-scale telecom AI/ML deployments.
  • Research and implement advanced ML techniques to enhance existing systems.
  • Collaborate with CSP customers to create scalable, data-driven solutions.
  • Manage the complete data lifecycle, from ingestion to monitoring and retraining.
  • Serve as a senior subject matter expert for data science and ML in AN, contributing to business development and technology evaluation.

Qualifications

You have:

  • Bachelors/Masters in Computer Science, Statistics, Data Science, Mathematics, or a related field.
  • 15+ years total experience, including 10+ years in telecom and 5+ years in AI/ML & cloud technologies.
  • Knowledge of telecom network data (OSS/BSS, CDRs, performance, fault, CX data).
  • Expertise in Python, SQL, PySpark, TensorFlow/PyTorch, and Scikit-learn.
  • Experience with Vertex AI, Red Hat OpenShift AI, and Kubernetes.

It would be nice if you also had:

  • Familiarity with network automation, service assurance, and intent-based networking.
  • Pre-sales experience like RFPs, solution demos, customer workshops.
  • Knowledge of Data Mesh, Data Fabric, and MLOps frameworks.
  • Experience with Snowflake, Databricks, Kafka, Flink, Airflow, and visualization tools like Tableau or Power BI.

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