As a Data Scientist you will have an opportunity to directly improve the quality and effectiveness of Twitter ads. You are passionate about understanding data and building algorithms and systems that work at scale. Team members have background in scalable data mining, relevance and ranking, machine learning, experimentation and measurement, statistics, and auction theory.
Watch: Career Advice
You will apply data mining, machine learning and/or graph analysis techniques for a variety of allocation, modeling, and relevance problems.
You will perform deep dive analyses to understand the behavior of our ad marketplace and online optimization algorithms.
You will use Map-Reduce frameworks such as Pig and Scalding, statistical software such as R, and scripting languages like Python and Ruby
You will write and interpret complex SQL queries for standard as well as ad hoc data mining purposes.
You will define metrics, understand A/B testing and statistical measurement of algorithm performance.
If this sounds like you, you probably have:
Experience with scripting languages like Python or Ruby etc.
Experience with statistical programming environments like R or Matlab
Experience in mapping business needs to engineering systems
Three or more years of industry experience
Experience with large datasets and map-reduce architectures like Hadoop and open source data mining and machine learning projects
Requirements
MS or PhD in computer science, data mining, machine learning, statistics, math, engineering, operations research, or other quantitative discipline
Fluent in one or more object oriented languages like Java, Scala, C#, C++
Send To A Friend
Posts
