AVP-Advanced Analytics & Data Scientist

Scope of WorkSystem Domain:Google Cloud PlatformHadoop Big DataDWH, CVM, RAFM, AI/MLETL and ReportingSolution & Development:Define and provide Solution Architecture of advanced analytics and data science in collaboration with related team within IT and Business function.Design, develop and implement advanced analytics and data science strategies to support business objectives.Drive the evolution of advanced analytics products and tools to enhance insights and efficiency.Contribute as a Subject Matter Expert for data Engineering, data science, and advanced analytics to provide the planning, solutioning, development and delivery.Implement and enforce data governance policies and procedures. Ensure compliance with data privacy and security regulations. Maintain documentation of advanced analytics and data science processes and development.Systematically manage documentation for each data solution and make sure it is up to date and reflects current business rules and definitions.Define project timeline and resources plan to execute the solutioning and development.Advance Analytics and Data Science:Conduct advanced data analysis using statistical models, machine learning, and AI techniques.Provide actionable insights on subscriber volumes, sales, churn, and revenue.Deliver performance reports and forecasts to executive leadership.Facilitate access and platforms to company’s and business partners’ data scientists to explore and exploit subscriber data within regulatory compliance.Application Architecture and Design Improvement:Evaluate current application architectures and designs that demand improvement.Develop the best practice design and architecture as a target reference architecture for IOH.Plan for design and architecture improvement towards efficient and effective digital experiences.Related Experience:Experience in ML/AI, Big Data, Data Warehouse, Business Intelligence for at least 2 years.Has delivered ML/AI use cases with at least 5 projects.Strong experience in managing project solutioning, development and delivery for telecom operators.Experience working with AGILE or within a structured project management environment.Some experience with data monetization, Fintech, campaign and advertising technology.General Skillset:Excellent knowledge of IT and Telco systems in both business and technical operations.Strong analytical and problem-solving skills, excellent communication and collaboration abilities.Good communication and presentation skills in English.Specific Skillset (Domain):Excellent skills in Machine Learning and Artificial Intelligence, Modeling, Big Data, DWH, BI Technology, Advanced Analytics, RT/NRT Analytics, and data science.Experience with advanced analytics and data science tools using statistical modeling, R, GCP Platform (Vertex AI, Auto ML, Big Query ML, Tensor Flow, Cloud TPUs, AI Platform), Jupyter Notebook, Tableau, Power BI, Looker, etc.Experience with Big Data and DWH platforms (e.g., Hadoop, Greenplum, Talend, Data Stage, Power BI, Tableau, Looker, Kafka, Flink, Nifi).Experience with code development scripting and programming (e.g., SQL, R, Python, Java, Spark, Scala, etc.).Good skills in Data Management, Data Engineering, Data Governance, Data Integrity, and Data Security.Good skills in IT system design, solution, architecture, development and delivery.Good knowledge of data monetization and fintech business.Good knowledge of infrastructure areas such as server, storage, database, cloud & virtualization, backup systems, desktop, local/wide area network, data center, and disaster recovery.

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