What are the responsibilities and job description for the Sr Staff Data Scientist - Mist position at Jobright.ai?
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Job Summary:
Hewlett Packard Enterprise is a global edge-to-cloud company that helps organizations connect, protect, analyze, and act on their data. The role of Sr Staff Data Scientist at Mist involves leveraging machine learning and AI technologies to develop solutions for network issues, collaborating with product managers and engineers, and building data-driven models.
Responsibilities:
• Research and develop statistical learning models for data analysis
• Collaborate with product management and engineering departments to understand company needs and devise possible solutions
• Keep up-to-date with latest technology trends
• Communicate results and ideas to key decision makers
• Implement new statistical or other mathematical methodologies as needed for specific models or analysis
• Optimize joint development efforts through appropriate database use and project design
Qualifications:
Required:
• MS or PhD in Computer Science, Electrical Engineering, Statistics, Applied Math, or a related quantitative discipline.
• Excellent understanding of machine learning techniques and algorithms, including clustering, anomaly detection, optimization, neural network etc
• 3 years experiences building data science-driven solutions including data collection, feature selection, model training, post-deployment validation
• Proficient in coding, (preferably in Python) processing large-scale data sets and developing machine learning models
• Able to communicate effectively in a variety of formats and collaborate with diverse teams
Preferred:
• Experience with Agentic AI, MCP and A2A
• Experience with AWS, S3, Flink, Spark, Kafka, ElasticSearch
• Start-up experience
Company:
HPE Aruba Networking provides access management, network infrastructure and mobility application solutions for mobile enterprise networks. It is a sub-organization of HP. Founded in 2002, the company is headquartered in Santa Clara, California, USA, with a team of 5001-10000 employees. The company is currently Public Company.
