обновлено 9 дней назад
Data Manager (Data Scientist, Data Engineer)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Data Manager (Data Scientist, Data Engineer) (AI/MLOps): Leading data management, analytics, and data-enabled initiatives for a global music game company with an accent on data governance, analytics platforms, and machine learning operations. Focus on overseeing end-to-end MLOps pipelines, monitoring model health and data drift, and building scalable cloud-based ML production environments.
Location: Ho Chi Minh City, Vietnam; 12 days of working from home per year.
Company
is a music game company developing technology-driven mobile games, including Magic Tiles 3, Tiles Hop, Dancing Road, and Duet Cats.
What you will do
- Lead data management, analytics, and data innovation initiatives across business functions.
- Supervise data and information systems, ensuring data products are accurate, legitimate, useful, and available.
- Establish and oversee data governance policies, data visions, and cross-functional data strategies.
- Manage data pipelines, BI systems, reports, dashboards, and ad hoc data support.
- Oversee the end-to-end MLOps lifecycle for model training, evaluation, deployment, and inference at scale.
- Build monitoring and alerting frameworks for model health, data drift, and production performance.
Requirements
- Bachelor’s degree in data science, computer science, IT, economics, statistics, applied mathematics, business administration, or a related field.
- 3–5 years of experience in a senior-level data management role and end-to-end delivery of data solutions.
- Experience managing senior stakeholders and communicating technical information to technical and non-technical audiences.
- Proven experience with MLOps tools such as MLflow, Kubeflow, or DVC, and CI/CD pipelines for ML automation.
- Strong understanding of GCP or AWS, cloud infrastructure, and infrastructure as code for ML production environments.
- Excellent verbal and written communication in English and Vietnamese is required.
Nice to have
- Master’s degree or Ph.D. in data analytics, data science, or a related field.
- Experience in the mobile, music, or game industry.
- Knowledge of modern data stacks and experience leading an organization’s data strategy.
- Passion for music and musical activities.
Culture & Benefits
- Flexible working time and 12 working-from-home days per year.
- 13th-month salary, year-end bonus, ESOP, and competitive compensation based on experience.
- Personal learning and well-being budget, team-building budget, and learning activities.
- Lunch and parking allowance.
- At least 12 days of paid annual leave and 10 days of paid sick leave.
- Employee Assistance Program and music-focused workplace events.
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