Overview

Data Scientists analyze PlaceIQ hyperlocal data sources to develop accurate predictions of audience and behavior.  A mixture of analytical approaches are employed including raw data mining, data visualization, application of rules and heuristics and supervised / unsupervised machine learning techniques. 

We deal with extremely large data sets requiring the design and development of highly memory and cpu efficient methods.  We use a mixture of commercial, open source and home-grown solutions. 

Experience with horizontally scaling statistical algorithms is a plus as is familiarity with the Hadoop ecosystem.

Key Responsibilities:

• Raw data analysis – assessing quality, cleansing, structuring for downstream processing

• Design and prototype of accurate and scalable prediction algorithms

• Functional and technical documentation of designs

• Collaboration with engineering team to bring analytical prototypes to production

• Communication of results to partners and customers

Requirements:

• Creative and pragmatic quantitatively minded individual with a passion for understanding location and human behavior

• Problem solving – ability to identify issues quickly and rapidly determine root cause and effective resolution approach

• Data analysis – very solid data analysis skills including application of analytical techniques such as statistical and machine learning

• Data management – familiarity with Hadoop ecosystem and SQL

• Proficiency with Python or Java

• Software engineering skills – fundamental coding skills enabling the building of analytical pipelines and the development of prototypes for core company products and systems

• Communication – excellent verbal and written communication skills, ability to communicate technical topics to non-technical individuals

• Execution – ability to manage own time and work effectively with others on projects

Education/Experience:

• Bachelors degree in Statistics/Applied Math/Computer Science or related field required

• Masters or PhD in a quantitative field desired

• 2+ years relevant job experience