Responsibilities

Conduct analysis to learn from Terabytes of data.

Apply advanced statistical techniques to model user behavior, identify causal impact and attribution, build and benchmark key metrics.

Write Map-Reduce jobs in Scalding/Spark, complex SQL queries, R and Python scripts.

Use data visualization tools such as Tableau or Zeppelin.

Communicate findings to executives and cross-functional product teams.

Who You Are:

You’re a very experienced person who owns important project areas from start to finish.

You influence entire organizations with the work you do. That work includes defining an important roadmap of data science work and executing it (perhaps in collaborations with others).

You are highly technical and hands on but you wear a product manager hat easily to make your projects successful.

You are a great communicator, capable of building meaningful presentations and analyses that tell a “story” passionate about insights, not just data.

Able to synthesize methodology and data into actionable business and/or product strategy, and communicate findings to relevant business partners: product, engineering, and management teams.

Requirements:

4+ years of work experience involving quantitative data analysis to solve problems.

Fluent in one or more object oriented languages like Java, Scala, C#, C++.

You are experienced with statistical programming environments like R, Matlab, Python.

Familiarity with Tensorflow, torch, theano is a plus.

Familiarity with Ontologies, SPARQL, Triple stores is a plus.

Capable of collaborating and working closely with cross-functional business, engineering and research partners to identify gaps and structure problems.

Experience with handling large datasets and map-reduce architectures like Hadoop, and open source data mining tools.