Lead Data Science Product Manager
Health Care Service Corporation
Domain Architect – Data Science
Nokia
full-time
Posted on:
Location: 🇺🇸 United States
Visit company websiteSalary
💰 $128,982 - $239,539 per year
Job Level
SeniorLead
Tech Stack
AirflowCloudGrafanaKafkaKubernetesOpenShiftPySparkPythonPyTorchScikit-LearnSQLTableauTensorflow
About the role
- Design, develop, and deliver AI/ML use cases tailored for Autonomous Networks (AN), driving innovation in telecom automation.
- Build and manage cognitive data products and frameworks that support large-scale AI/ML deployments across telecom environments.
- Research and apply advanced machine learning techniques to enhance existing systems and solve complex, novel challenges.
- Collaborate with CSP customers to translate business requirements into scalable, data-driven solutions.
- Implement end-to-end ML pipelines using platforms such as Vertex AI, Red Hat OpenShift AI, and Kubeflow.
- Manage the full data lifecycle—from ingestion and feature engineering to model training, deployment, and monitoring.
- Establish robust frameworks for model performance tracking, drift detection, and automated retraining.
- Ensure all solutions are aligned with industry standards including 3GPP, TM Forum, and CSP frameworks.
- Support pre-sales activities, including RFP responses, proof-of-concepts (PoCs), and customer demonstrations.
- Contribute to reusable assets and delivery accelerators, enhancing the scalability and efficiency of AI/ML use case implementations.
- Provide strategic direction for identifying new business opportunities and evaluating emerging technology solutions.
- Act as a senior subject matter expert in data science and machine learning for Autonomous Networks, guiding delivery teams and influencing solution strategy.
Requirements
- Bachelor’s/Master’s in Computer Science, Statistics, Data Science, Mathematics, or related field.
- 15+ years total experience, including 10+ years in telecom domain and 5+ years in AI/ML & cloud technologies.
- Strong knowledge of telecom network data (OSS/BSS, CDRs, performance, fault, CX data).
- Expertise in Python, SQL, PySpark, TensorFlow/PyTorch, Scikit-learn.
- Hands-on experience with Vertex AI, Red Hat OpenShift AI, Kubeflow, and Kubernetes.
- Awareness of Generative AI, LLM-Ops, and Agentic AI applications in telecom.
- MLOps: MLflow, Kubeflow Pipelines, ArgoCD, GitOps.
- (Nice to have) Ab-intio data management platform
- (Nice to have) Familiarity with network automation, service assurance, and intent-based networking.
- (Nice to have) Exposure to standards: 3GPP, TM Forum
- (Nice to have) Pre-sales experience: RFPs, solution demos, customer workshops.
- (Nice to have) Knowledge of Data Mesh, Data Fabric, and MLOps frameworks.
- (Nice to have) Experience with Snowflake, Databricks, Kafka, Flink, Airflow.
- (Nice to have) Visualization: Tableau, Power BI, Grafana.
