Data Scientist

Data Scientist

Jersey City, NJ 2016-10-19 - –

SITO_Mobile SITO Mobile

SITO Mobile provides a mobile engagement platform that enables brands to increase awareness, loyalty, and drive sales.

We are looking for talented and intelligent people to join our team. We operate in a fast paced environment experiencing rapid growth so successful candidates will need to be committed to the success and growth of the business. This is a great opportunity to work with the latest technologies, and design and develop one of the biggest mobile advertising platforms currently available. As a member of our team, you will be responsible for technical investigation, platform maintenance and development supporting our Demand Side and Data Management Platforms.

As a Data Scientist you will analyze hyper-local data sources to develop accurate predictions of audience and behaviors. A mixture of analytical approaches are required 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.

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

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