Principal Data Scientist

9 hours ago

Chennai Tamil Nadu, India Viavi Solutions Full time

Summary:
Duties & Responsibilities:

- Principal Data Scientist - VIAVI Solutions
- Overview:

- VIAVI Solutions is seeking a Principal Data Scientist to lead the data science and MLOps strategy for our next-generation NITRO AIOps 2.0 platform. This role is critical in shaping the platform’s intelligence layer, ensuring robust, scalable, and production-ready AI/ML capabilities that support cross-domain network assurance, automation, and analytics for global telecom operators.

As a senior technical leader, you will guide both the algorithmic direction and the deployment architecture of AI/ML solutions. You will collaborate across R&D, product management, and customer-facing teams to ensure that data science initiatives align with business goals and are seamlessly integrated into the platform’s architecture.
- Key Responsibilities:
- Lead the design and implementation of AI/ML models for anomaly detection, forecasting, and incident prediction.- Architect and optimize MLOps pipelines for scalable, automated model training, validation, deployment, and monitoring.- Select and evaluate appropriate algorithms and statistical methods for diverse telecom data sets.- Define best practices for data preprocessing, feature engineering, and model interpretability.- Collaborate with software architects to integrate ML models into a cloud-native, microservices-based platform.- Guide the selection and integration of MLOps tools (e.g., MLflow, Kubeflow, SageMaker, Vertex AI).- Ensure data quality, governance, and compliance across the ML lifecycle.- Mentor global data science and engineering teams, fostering a culture of experimentation and rigor.- Partner with product and engineering teams to align data science initiatives with customer needs and business strategy.- Stay ahead of emerging trends in AI/ML, MLOps, and telecom analytics to drive innovation.
- Qualifications:
- Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or a related field.- 15+ years of experience in data science, analytics, or related fields, with 4-5 years of hands-on experience in machine learning and MLOps.- Deep expertise in statistical modeling, time-series analysis, and data-driven decision-making.- Proven experience deploying ML models in production using MLOps frameworks.- Strong programming skills in Python and familiarity with ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).- Experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes, Docker).- Familiarity with telecom domains (RAN, Core, Transport) and associated data types.- Excellent communication and cross-functional collaboration skills.
- Preferred:
- Experience with AI observability, model drift detection, and continuous learning systems.- Background in telecom assurance or AIOps platforms.- Knowledge of TMF standards and SaaS architectures.- Contributions to open-source MLOps or data science tools.

Pre-Requisites / Skills / Experience Requirements:

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