Sr Staff Data Scientist, Hewlett Packard Enterprise

Sr Staff Data Scientist

Hewlett Packard Enterprise

Location:
United States, San Jose

Category:
IT - Software Development

Contract Type:
Employment contract

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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