Amanotes

Tóm tắt công việc

Objectives

• To lead the impact of data science on different areas of business, that include data management, data analytics & data innovations through Machine Learning, AI
• Being the visionaries & execution driver of all data-enabled initiatives in Amanotes. Provide transformative direction and the general technical leadership for Amanotes Data Ecosystem. Coordinate cross-function to leverage data to achieve impactful business outcomes

What you will do

Data Management

• Supervise the data and information system to ensure adequacy, accuracy, and legitimacy of data products (including but not limited to: reports, insights, analytics tools, models)
• Establish & Supervise Amanotes data governance and policies
• Facilitate & Communicate Data Visions and Strategies across functions & business units

Data Operations (Data Supports)

• Anticipate the upcoming trends and business demands to propose impactful data deliverables
• Supervise the pipeline to deliver data with high quality, timeliness, usefulness; to enable data usability, availability, and efficiency on the Information System (BI, Reportings, Dashboard)
• Ensure Data Support Excellence in performing data ad-hoc requests
• Oversee the end-to-end MLOps lifecycle, including automated pipeline deployment for model training, evaluation, and inference at scale
• Implement robust monitoring and alerting frameworks to track model health, data drift, and performance degradation in production

Data Analytics & Insights

• Define Analytics opportunities to support the growth of Amanotes
• Develop the Analytics Capacities in Amanotes: Through Data & Data Science techniques, Mastering knowledge about our customers, products, and business

• Bachelor's degree in Data Science, Computer Science, Information Technology, Economics, Statistics, Applied Math, Business Administration, or any other related field
• 3-5 years experience in a senior-level data management role
• Experience in designing, managing, and delivering data solutions with a proven track record of managing end-to-end delivery from ideation to R&D to production with multiple stakeholders involved (managing timelines, development, deliverables, and expectations)
• Experience in managing senior stakeholders and communicating complex, technical information in an engaging way to both technical and non-technical audiences
• Technical understanding or enthusiasm in areas of BI, AI (Incl. Machine Learning), Reporting and visualization, infrastructure, architecture, and governance, are appreciated
• Demonstrated leadership ability, confidence, and executive presence – ability to lead and motivate employees within the organization
• Excellent analytical, problem-solving, and data analysis skills
• High Adaptability (quick-learner & able to adapt quickly with changes in high uncertainty environment)
• Radical open-mindedness and radical transparency
• Excellent verbal and written communication, in English and Vietnamese
• Proven experience with MLOps tools (e.g., MLflow, Kubeflow, DVC) and implementing CI/CD pipelines for machine learning automation
• Strong understanding of cloud infrastructure (GCP/AWS) and infrastructure-as-code for managing ML production environments
• High level of strategic thinking & critical thinking
• Exceptional team management skills

Will be a plus

• Master’s degree or Ph.D. in Data Analytics, Data Scientists, or related fields
• Working experience related to the mobile/music/game industry is a plus
• Knowledge of Modern Data Stacks, i.e. GCP, AWS, and MLOps is a plus
• Passion for Music (such as playing musical instruments and love to sing karaoke) is a huge asset
• Showcase in designing initiatives and leading the organization’s data strategy