Responsibilities:

Responsible to collect, clean, analyze, provide insights from data, real-time or periodically, and communicate the findings to different teams or stakeholders in the company
Work with various internal and 3rd-party data sources
Provide support for employees from other departments working on problems involving data
Lead the way about tools, trends, technologies, and sharing the knowledge to community
Mentor and grow peers by cultivating curiosity and deep technical understanding

Requirements:

Comfort manipulating and analyzing large data sets from varying sources
Ability to balance a fast-paced working environment with the need for precision
Ability to work both independently and collaboratively within a team
Fluency with at least one programming language such as Python and Scala
Experience with relational databases and SQL
Ability in big data processing, involving: volume (huge datasets in Gigabytes or even Terabytes data), variety (data in various formats such as csv, relational database, json, etc.) and velocity (aiming data pipeline with reliable SLA)
Experience with data analysis tools such as Apache Zeppelin, Apache Spark, Apache Beam
Strong complex problem-solving skills
Great communication skills
Past mentorship of other engineers within an organization, showing mutual growth.

Familiarity with distributed system technologies such as Hadoop and NoSQL databases
Familiarity with the inner workings of News / Media Publishing platforms
Have collaborated with other scientists in publishing statistical models for the greater good
Good English skill - both in written and speaking