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    Data Scientist - San Jose, United States - Glocomms

    Glocomms
    Glocomms San Jose, United States

    2 days ago

    Default job background
    Description

    The Applied AI (DCC) team is part of the Monetizing Integrity team for global business solutions. We support Data Cycling Center's to provide enterprises with affordable and trusted data and models.

    Responsibilities:

    • Design and build core capabilities by leveraging content understanding capabilities, such as natural language processing, machine learning, or computer vision, to extract insights and improve monetization strategies.
    • Develop creative solutions and build prototypes for business problems using algorithms based on the latest deep learning, machine learning, statistics, and optimization techniques
    • Independently manage data projects from 0 to 1, and collaborate with product managers to define user stories, and success metrics to guide the development process
    • Verify the business value and estimated revenue of the project using methods such as AB testing
    • Collaborate with engineering teams to deploy and scale data science solutions

    Qualifications:

    Minimum Qualifications:

    1. 1-3 years of industry experience in data modeling/analysis, with industry experience in deep learning and one of CV/NLP/Speech and an advanced degree in a quantitative discipline (e.g., Statistics, Operations Research, Economics, Computer Science, Mathematics, Physics) or equivalent practical experience;
    2. Experience in data project management, and solid foundations of maths and algorithms;
    3. Experience in cooperating with outsourcing data teams, experience in overseas monetization products;
    4. Proficiency in Python and SQL, and DL frameworks such as TensorFlow, PyTorch

    Preferred Qualifications:

    1. Proven ability to succeed in an innovative and fast-paced environment;
    2. Excellent communication in English, influencing, and management skills, with the ability to quickly respond to complex projects in collaboration with global stakeholder teams.
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