Deep understanding of statistical and machine learning models
Proven experience building models and placing models into production.Supporting implementation of advanced analytics in industry
Resolving resolving issues at Data Platform
Strong experience on VNF, Kr8 Platforms
Experience with big data: extraction, processing, filtering, and presenting large data quantities (100K to Millions of rows) via Cloud technologies, SQL, and data pipelines
Experience in optimization problems, and solving those problems at scale
Presenting information using data visualization techniques
Identify valuable data sources and automate collection processes
Analyze large amounts of information to discover trends and patterns
Build predictive models and machine-learning algorithms
Combine models through ensemble modeling
Propose solutions and strategies to business challenges
Collaborate across different business unit and product development teams
Requirements:
Strong Skills of machine-learning and AI
Strong Knowledge of Python, PySpark, SQL, Flask familiarity with data frameworks such as Hadoop, databases (PostgreSQL, MongoDB, YugaByte), understanding of cloud-native deployments and infrastructure
Strong math / analytical skills (e.g. statistics, algebra)
Excellent communication and presentation skills
MSc/BSc/BA in Computer Science, Engineering or relevant field graduate degree in Data Science or a quantitative field is preferred
