Description
About the Team:
The Applied AI (DCC) Team is part of the Monetizing Integrity team in TikTok global business solutions. We support Data Cycling Center to provide enterprises with affordable and trusted data and models.
Responsibilities:
1. 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;
2. Develop creative solutions and build prototypes for business problems using algorithms based on the latest deep learning, machine learning, statistics, and optimization techniques;
3. 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;
4. Verify the business value and estimated revenue of the project using methods such as A/B testing;
5. Collaborate with engineering teams to deploy and scale data science solutions.Minimum Qualifications:
1. BS or above in Computer Science, Software Engineering, Data Science, or a related field;
2. Knowledge of underlying mathematical fundamentals in statistics, machine learning, and analytics;
3. 1-3 years experience in data modeling/analysis, with industry experience in ML/DL and one of CV/NLP/Speech;
4. Experience with exploratory data analysis, statistical analysis, hypothesis testing, and model development;
5. Fluency in SQL, Hive, Presto, or Spark and having experience working with large datasets.
6. High proficiency in Python and SQL, and ML/DL frameworks such as TensorFlow, PyTorch
Preferred Qualifications:
1. Experience in CI/CD such as git and cloud services such as AWS/GCP/Azure will be highly desirable;
2. Intellectual curiosity, along with excellent problem-solving and quantitative skills, including the ability to desegregate issues, identify root causes and recommend solutions.
The Applied AI (DCC) Team is part of the Monetizing Integrity team in TikTok global business solutions. We support Data Cycling Center to provide enterprises with affordable and trusted data and models.
Responsibilities:
1. 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;
2. Develop creative solutions and build prototypes for business problems using algorithms based on the latest deep learning, machine learning, statistics, and optimization techniques;
3. 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;
4. Verify the business value and estimated revenue of the project using methods such as A/B testing;
5. Collaborate with engineering teams to deploy and scale data science solutions.Minimum Qualifications:
1. BS or above in Computer Science, Software Engineering, Data Science, or a related field;
2. Knowledge of underlying mathematical fundamentals in statistics, machine learning, and analytics;
3. 1-3 years experience in data modeling/analysis, with industry experience in ML/DL and one of CV/NLP/Speech;
4. Experience with exploratory data analysis, statistical analysis, hypothesis testing, and model development;
5. Fluency in SQL, Hive, Presto, or Spark and having experience working with large datasets.
6. High proficiency in Python and SQL, and ML/DL frameworks such as TensorFlow, PyTorch
Preferred Qualifications:
1. Experience in CI/CD such as git and cloud services such as AWS/GCP/Azure will be highly desirable;
2. Intellectual curiosity, along with excellent problem-solving and quantitative skills, including the ability to desegregate issues, identify root causes and recommend solutions.
Other Jobs from TikTok
Data Scientist, Privacy - TikTok
San Jose, CA
Data Scientist - Intelligent Video
Sydney, Australia
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