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This role involves designing, developing, troubleshooting, and debugging software programs for software enhancements and new products. The position is part of the Data Science team at Mist, which leverages state-of-art ML and AI technologies to build the next-generation self-driving network solution.
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