Senior Data Scientist
AI summary of the role
Senior Data Scientist building ML solutions for HPE's AI Datacenter autonomous platform, processing terabytes of streaming data to detect anomalies, predict problems, and provide root cause analysis.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Design and implement machine learning solutions processing terabytes of streaming data to detect anomalies in DC networks, predict problems, and provide Root Cause Analysis (60%)
- Leverage network data to empower the inference engine of the Mist platform and Marvis virtual assistant chatbot
- Develop scalable algorithms for real-time anomaly detection, prediction, and classification using streaming data
- Analyze feature requirements from product managers and collaborate with engineers and data scientists to design solutions
What you’ll bring
- Bachelor's degree in Computer Science/Engineering/Mathematics or equivalent
- 5+ years of experience in Search Indexing, Ranking, Information Retrieval and Querying
- Proficient in Python and Golang
- Proficient in implementing NLP, Machine Learning models and algorithms into production at scale
Technologies
Python · Golang · Apache Spark · Apache Storm · Apache Flink · Hadoop · Hive · Elasticsearch · Redis · AWS · GCP · Azure
About Hewlett Packard Enterprise
Enterprise infrastructure company selling servers, hybrid cloud, storage, AI systems, and AI-native networking, differentiated by GreenLake consumption and Juniper/Aruba stack.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
data science-related research and software application development and engineering duties related to our AI Datacenter technology and autonomous platform to provide an unprecedented visibility and operational efficiency and into the user experience. The Software Engineer will collaborate with other engineers and to build the next generation of autonomous Datacenter networks leveraging big data and predictive models. The Software Engineer will leverage the data collected from the network to empower the inference engine of our Mist platform and systems, including the Mist virtual assistant chat bot. In addition, will use his/her knowledge of network communication, machine learning and software engineering to develop and implement scalable algorithms to process a large amount of streaming data to detect anomalies, predict problems, provide Root Cause Analysis (RCA) and classify them in
More from the job description
Senior Data Scientist This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description: Senior Data Scientist will be engaged in data science-related research and software application development and engineering duties related to our AI Datacenter technology and autonomous platform to provide an unprecedented visibility and operational efficiency and into the user experience. The Software Engineer will collaborate with other engineers and to build the next generation of autonomous Datacenter networks leveraging big data and predictive models. The Software Engineer will leverage the data collected from the network to empowe [... source excerpt omitted ...] ntelligent for Marvis. Job Duties: Design and implement machine learning solutions which require to process terabytes of streaming data to detect anomalies in DC networks of our customers, predict problems and future trends, provide Root Cause Analysis (60%) Solid statistics and math background, good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests. Excellent Communication Skills to articulate observations and use cases with PM and network domain experts who are not experienced in AI/ML through data visualization tool. Have done time series data analysis, forecasting and correlation is preferrable. Have utilized latest AI/ML [... source excerpt omitted ...] product manager, collaborate with engineers and data scientists to design the solutions. Require good understanding of datacenter networking topology and protocols. Troubleshoot production environment and customer reported issues (20%) Require the knowledge of the multi-cloud production environment Require the agility to troubleshoot open-source data processing engine, such as Apache Spark, Apache Storm and Apache Flink Utilize analytical and programming skills and open-source systems, such as Hadoop, Hive, Spark, Elasticsearch, Redis, etc. develop data processing pipeline required efficacy and latency (20%) Require good knowledge and experience of the big data tool sets and
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