Data Manager (Data Scientist, Data Engineer)

Job description

### 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 ### Qualifications - 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 ### Benefits At Amanotes, you will be enjoying the dynamic working environment with unique music culture many benefits as below: - Competitive salary upon experience - 13th-month salary - Year-end Bonus - ESOP - Flexible working time - Personal learning and well-being budget - Team-building budget - Lunch and parking allowance - Various learning activities, including internal training & sharing, international conferences, and e-learning (Udemy, Linkedin Learning...) - Engaging music events: Music Night, Amasing Night, Music schools… - Employee Assistance Program to support mental health & well-being - Minimum 12 days of paid annual leave, plus 10 days of paid sick leave - 12 days working from home per year