Data Scientist

1 day ago

Ho Chi Minh City, Ho Chi Minh, Vietnam Zalopay Full time

We're looking for a
Data Scientist (open to senior level)
- a proactive and strong team player, who is comfortable working across multiple teams and systems to tackle complex problems, whether optimizing existing solutions or building new ones from the ground up. You'll collaborate closely with risk pillar owners, data engineers, and software engineers to develop innovative mechanisms and ensure optimal data, model, and system architecture across projects.

Responsibilities

  • Focus on bringing statistical depth, analytical insights, and accurate interpretation of data;
  • Extract, analyze, and apply data-mining/AI/ML techniques to large structured and unstructured datasets;
  • Own, design, develop, and test large-scale data science pipelines and algorithms that are built for speed, scale, and usability;
  • Conduct end-to-end data processing, troubleshooting, and problem diagnosis in the whole life cycle of AI/ML development and operation;
  • Research and investigate academic and industrial AI/ML techniques for product improvements;
  • Stay current on published state-of-the-art algorithms and competing technologies;
  • Analyze and improve existing data sources, models, strategies, and metrics;
  • Design and analyze experiments to pilot, test, and apply new features & solutions;
  • Report, visualize, and communicate results & impacts;
  • Collaborate with other engineers and team members to evaluate and improve the core components of autonomous systems;
  • Identify any product/functionality/technical gaps required to deliver a solution and collaborate with internal teams to define the necessary enhancements to support delivery;
  • Evaluate and recommend tools, technologies, and processes to ensure the highest quality solutions;
  • Foster a culture of ownership, accountability, testing, and measurement, as well as continuous improvement through mentoring, feedback, and metrics.

Requirements

  • From 3 years of relevant work experience with a large scale of REAL data;
  • MSc/PhD in Computer Science, Mathematics, Data Science;
  • Strong machine learning/statistics background with hands-on experience in industry, sourcing, cleaning, manipulating, and analyzing large volumes of data;
  • Experience with end-to-end modeling projects emerging from research efforts;
  • Willingness to understand a complex system and its various components;
  • Great scripting and programming skills (fluent in Python, Java, GoLang);
  • Experience with open-source machine learning libraries such as sci-kit-learn, weka, distributed/parallel big data processing architecture (e.g., Hadoop, Spark, MLlib), and deep learning framework (e.g., TensorFlow, Pytorch);
  • Excellent problem-solving and communication skills;
  • Ability to work well in a fast-paced culture and ability to manage multiple projects and deadline.

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