1. Knowledge and experience with application of advanced statistical techniques (regression, various statistical tests, etc.).

2. Knowledge and experience with application of a variety of machine learning techniques (clustering, decision tree, neural network, PCA, etc.).
3. Experience with data visualization tool such as Tableau or Power BI

4. Real-world ML project end-to-end experiences, including model simulation.
5. Data pipeline processing knowledge and ability to efficiently cross check the quality of data.
6. 4 years + of data related work experience.
7. Mentorship experience in leading or guiding data projects/products.

8. User Behavior Recognition / Recommendation model deployment relevant experience will be a plus.

1. Proficiency in Python (must), SQL or other programming languages.

2. Proficiency in common ML frameworks, etc.

3. Strong problem-solving skills.

4. Excellent English written and verbal communication skills for coordinating across teams and with stakeholders.