Data Scientist - Applied AI (Community Index)

nsible for partnering with a variety of stakeholders (product, operations, policy, and engineering) and developing state-of-the-art models.

What You'll Do:

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 AB testing;
5. Collaborate with engineering teams to deploy and scale data science solutions.

Qualifications

Minimum Qualifications:

1. Knowledge of underlying mathematical fundamentals in statistics, machine learning and analytics;
2. Experience in data modeling/analysis, with industry experience in ML/DL and one of CV/NLP/Speech;
3. Experience with exploratory data analysis, statistical analysis and hypothesis testing, and model development;
4. Fluency in SQL, Hive, Presto, or Spark and having experience working with large datasets.

Preferred Qualifications:

1. Clear understanding of data pipeline, model development, model testing and deployment;
2. Experience in CI/CD such as git and cloud services such as AWS/GCP/Azure will be highly desirable;
3. Advanced English with good communications skills; able to communicate analytical and technical content in an easy to understand way to both technical and non-technical audiences;
4. Intellectual curiosity, along with excellent problem-solving and quantitative skills, including the ability to desegregate issues, identify root causes and recommend solutions.