Senior Data Scientist
Core
Design and implement machine learning solutions to process terabytes of streaming data for anomaly detection, problem prediction, and Root Cause Analysis in datacenter networks.
Role type
Senior IC machine learning engineer (datacenter networking)
Builds
Scalable algorithms and software for HPE's autonomous Datacenter networks and Mist platform inference engine
Domain
Datacenter networking, cloud infrastructure, big data processing
Deliverable
production ML models
Required skills
Python, Golang, machine learning (k-NN, Naive Bayes, SVM, Decision Forests, Neural Networks, Transformers), time series analysis, statistics, datacenter networking topology, distributed storage and computation (Apache Spark, Storm, Flink, Hadoop, Hive, Elasticsearch, Redis), cloud CI/CD tools, agentic frameworks
Preferred skills
PhD in Statistics/CS/OR, 8+ years experience, AWS/GCP/Azure ML platform deployment, NLP
Technologies
Python, Golang, Apache Spark, Apache Storm, Apache Flink, Hadoop, Hive, Elasticsearch, Redis, AWS, GCP, Azure
Responsibilities
Design and implement ML solutions for streaming data anomaly detection and prediction; develop scalable algorithms for real-time RCA and classification; troubleshoot production environment and customer issues; develop reusable data processing components; collaborate with engineers and PMs to design solutions
Seniority
Senior, hands-on IC
