DatVietVAC

Overview of job

Job description

• Create and enforce policies for effective data management.
• Formulate techniques for quality data collection to ensure adequacy, accuracy and legitimacy of data.
• Devise and implement efficient and secure procedures for data handling and analysis with attention to all technical aspects.
• Establish rules and procedures for data sharing with upper management, external stakeholders etc.
• Monitor and analyze information and data systems and evaluate their performance to discover ways of enhancing them (new technologies, upgrades etc.)
• Ensure digital databases and archives are protected from security breaches and data losses.
• Troubleshoot data-related problems and authorize maintenance or modifications.

Why you'll love working here

Founded in 1994, DatVietVAC is Vietnam’s first privately-owned media and communication agency. Positioned for the 4.0 industrial revolution, the group has evolved from a media giant into the largest media entertainment technology company in Vietnam.

Leading the national market share, DatVietVAC continues to aggressively invest in M&A and new businesses to build a world class digital Vietnamese culture economy to complement our three key core business pillars:

Communication Services: connects brands to audiences with creative initiatives, brand architects, strategic media planning and buying, and Ad Tech for next-level digital media targeting.

Content Provision: possesses the largest independent content library that creates, acquires, and distributes International and Vietnamese content via multiple platforms, as well as manages the country’s largest portfolios of influencers, creators, KOL and celebrities.

Media Ownership: invests, operates and builds community with a network of TV channels; a 4.0 digital media platform with a video social network, MPN, and OTT with views over 1 billion; a network of out-of-home properties, as well as, a network of digital communication hubs across the nation to deeply engage the Vietnamese community.

Your skills and experience

• +2 years of experience as Data Engineering Manager.
• Excellent understanding of data administration and management functions (collection, analysis, distribution etc.).
• Familiarity with modern database and information system technologies.
• Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
• Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
• Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
• Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights.