Responsibilities
Create value-adding analytic systems, toolsets and processes that support user acquisition, user engagement, usage growth and retention.
Work in a multi-disciplined team where you’ll take full ownership of turning discoveries and ideas into machine learning models.
Our ideal candidate is result-focused, innovative and has solid quantitative background and a good business understanding.
Ability to transform large, complex datasets into pragmatic, actionable insights and in turn quantify and influence tangible business gain.
Ability to see beyond the numbers, be the voice of data when communicating to decision makers, product owners and other business leaders.
Create insightful data visualizations that highlight trends.
Preparing periodic, continuous and ad hoc reports clearly showing business trends and customer behavior.
Monitor product lifecycle and highlight early signs of product use change.
Requirements
Bachelor’s Degree in Statistics, Actuarial Science, Computer Science or Economics. Must show experience in data analysis.
2 years working experience in a reporting / data analysis role(s) and environments.
Experience in using SQL based data mining and analysis required.
Result-focused, innovative and has solid quantitative background and a good business understanding.
Experience with common data science toolkits
A good scripter able to use analysis tools creatively to programmatically answer complex business questions in a data driven approach at relative speed.
Good applied statistics skills and experience, such as distributions, statistical testing, regression, etc.
Demonstrate that he/she has a good understanding of data cleaning and transformation techniques.
Entrepreneurial, Positive, people-oriented, and energetic attitude.
Ability to work under pressure with minimal supervision and meet assignment deadlines through personal initiatives on several simultaneously assigned tasks.
go to method of application »
