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Sr Staff Data Scientist

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Hewlett Packard Enterprise

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Location:
United States , San Jose

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

148000.00 - 340500.00 USD / Year
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Job Description:

The mission of the Data Science team at Mist is to leverage state-of-art ML and AI technologies to build the next-generation self-driving network solution. This role involves collaborating with product managers, engineers, and domain experts to develop data-driven solutions and scale them in production.

Job Responsibility:

  • 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

Requirements:

  • 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

Nice to have:

  • Experience with Agentic AI, MCP and A2A
  • Experience with AWS, S3, Flink, Spark, Kafka, ElasticSearch
  • Start-up experience
What we offer:
  • Comprehensive suite of benefits supporting physical, financial and emotional wellbeing
  • Personal and professional development programs
  • Inclusive workplace policies

Additional Information:

Job Posted:
August 02, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
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