Details:

Job Description and Responsibilities:

·      Has worked in a big data environment before alongside a big data engineering team (and data visualization team, data and business analysts)

·      Translate client's business requirements into a set of analytical models  

·      Perform data analysis (with a representative sample data slice) and build/prototype the model(s)

·      Tune the model(s) to improve results provided over time

·      Understand business challenges and goals of a client to formulate the approach for data analysis and model creation that will support their business decision making

·      Do hands-on data analysis and model creation and proactively mentor other team members

·      Work in highly collaborative teams that strive to build quality systems and provide business value

·      Work closely with clients, both in the Business Domain and with Technical staff members

Experience Required:

·      Experience with building predictive statistical, behavioral or other models via supervised and unsupervised machine learning, statistical analysis, and other predictive modeling techniques.

·      Experience using R, SAS, Matlab or equivalent statistical/data analysis tools. Ability to transfer that knowledge to different tools

·      Experience with matrices, distributions and probability

·      Familiarity with at least one scripting language - Python/Ruby

·      Proficiency with relational databases and SQL

·      Natural language processing experience is a plus

·      Experience with Map/Reduce, Hadoop, Hive etc. is a plus

·      Experience with NoSQL stores is a plus

Min. Qualification:

ug

Skills Required:

hadoop, machine learning, mapreduce, nlp, nosql, predictive modeling, python, r, ruby, sas, statistical modeling