Data Scientist – Applied AI

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Data Scientist – Applied AI

Company Overview
A global leader in short-form mobile video, this innovative platform inspires creativity and brings joy to users worldwide. With a presence in major cities across the globe, this company values collaboration, courage, and continuous growth as it fosters a dynamic and inclusive work environment.

Job Description
The Data Scientist in the Applied AI Team will play a critical role in supporting the Monetizing Integrity team, which provides enterprises with affordable and trusted data and AI models. This role requires developing insights and strategies to enhance monetization using advanced AI techniques, including natural language processing, machine learning, and computer vision.

Key Responsibilities

• Leverage content understanding techniques to support monetization through data insights.
• Develop and prototype innovative solutions for business challenges using deep learning, machine learning, and statistical optimization.
• Manage data projects from inception through to implementation, working closely with product managers to set goals and metrics.
• Use AB testing and similar methods to verify business value and projected revenue.
• Collaborate with engineering teams to deploy and scale AI and data science solutions.

Qualifications

Minimum Requirements:

• Bachelor’s degree or higher in Computer Science, Data Science, or a related field.
• Solid foundation in statistics, machine learning, and analytics.
• 1-3 years of experience in data modeling/analysis, especially in machine learning and deep learning, with skills in CV/NLP/Speech.
• Proficiency in SQL, Hive, Presto, or Spark for working with large datasets.

Preferred Skills:

• Experience with CI/CD processes, Git, and cloud services like AWS, GCP, or Azure.
• Advanced problem-solving abilities and strong quantitative skills.
• Proficient in Python and machine learning frameworks like TensorFlow or PyTorch.

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