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
• Answer questions by using appropriate statistical techniques on available data
• 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 developers by cultivating curiosity and deep technical understanding.

REQUIREMENTS:

• Bachelor's or Master's degree in a quantitative field
• An insatiable passion for solving analytical problems using quantitative approaches
• 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 scripting language such as Python, Scala
• Experience with relational databases and SQL
• 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.

Bonus points for:

• Familiarity with distributed system technologies such as Hadoop and NoSQL databases
• Have collaborated with other scientists in publishing statistical models for the greater good
• Good English skill - both in written and speaking