Data Manager - Tabula｜Meet.jobs

Descriptions:
The role requires you to utilize various quantitative techniques (e.g. ETL, database knowledge, machine learning, optimization) to drive the asymmetric values for our business at Tabula. As a data manager, you will work closely with the product managers, engineers, and business users to deliver scalable data science solutions -- increasing the overall growth and efficiency of our Tabula Apps Business

Responsibilities:

1. Leading a team consists of Data Engineer and Data Analyst
2. Build, design, and scale data   infrastructure
3. Build ETL/ELT pipeline from   various Data Sources and Destinations
4. Monitor and maintain existing data   infrastructure
5. Support and collaborate with other   data engineers, analyst, scientist, and engineering team
6. Explore and learn new best   practices/technologies that can improve our current stack
7. Build report, monitoring dashboard, and visualization
8. Take ownership of the end-to-end   data science solutions - from framing the business problem as a data science problem to building and deploying the models into production
9. Along with product managers and   business users, own the business outcomes or metrics that the data science   solution drives
10. Become the thought partner for the product team to add new features or operations flows that can boost the data   science model performance in general (e.g. design the feedback-loop or   human-in-the-loop process to continuously improve the model performance over   time)

 

Requirements: 

1. At least 3 years of experience in Data related fields and have at least a Bachelor's degree in a quantitative   field (i.e. Mathematics, Statistics, Computer Science, Machine learning, etc)
2. Hands-on knowledge in common data   science stacks (Python+DS libraries, SQL, H2O, etc.)
3. Strong problem-solving skills
4. Proficient in Python is a must
5. Experienced with cloud platforms   like AWS, GCP, or Azure
6. SQL/NoSQL
7. Understanding Linux and docker is a plus