AVA Analytics Engineer
Qualifications and Skills
• Master’s Degree in Statistics, Machine Learning, Data Science, Computer Science or Computer Engineering
• Solid knowledge in statistics: descriptive analysis (Student’s test, Fisher test, ANOVA, Chi2, etc…), supervised and unsupervised analysis (regressions, CAH, PCAn, K-Means, decision trees, etc...)
• Machine Learning: linear and logistic regressions, discriminant analysis, bagging, boosting, random forests, gradient boosting, neural networks, text mining and topics extraction, etc...
• Knowledge of Python (sklearn, panda, numpy,..), Spark/Scala (Mlib) or R data science libraries
• Big Data: Cassandra & Elastic Stack, etc..
• Ability to work independently and be a self-starter
• Excellent organizational and communication skills
• High energy, initiative, enthusiasm and persistence. English & Japanese language mandatory (written and verbal)
ASSIGNMENT
• Performs optimization in terms of capacity, architecture, performance, analyses counters and metrics on current capacity and usage.
MAIN ACTIVITIES
• Defines a complete communication system/network to meet customer’s requirements : system dimensioning & design, design interfaces between the network elements in a end to end view
• Defines the criteria to assess network performance from end-user / service perspective & monitors those criteria
• Identifies and anticipates proactively network performance issues (traffic/quality/resiliency) and provides recommendations for improvement
• Optimizes the capacity of the network to meet traffic increase and customer requirements thanks to either network extension or existing network modification
• Ensures that design & optimization guaranty the capability for the network to provide end-user new services in line with customer environment, business goals/drivers and quality
• Continuously looks for new business opportunities by proactively encouraging customers at exploring new solutions and triggering up scopes
WORKING MODE
• Develops and maintains a trust & win-win relationship with customer
COMPETENCIES
• Communication
• Consulting & Customer Business Support
• Network Operations
• Financial Management
• Partner & Customer Relationship Mngt
• Architecture & Solution Building
SKILLS
• Broad experience in multiple domains and technologies
• Experience of network engineering, design,