Sr Data Scientist – Text Mining – Cyber Space Technologies Llc – Franklin Lakes, NJ

Job ID: 5890
Job date: 2016-08-26
End Date:

Company : Cyber Space Technologies Llc 

Country :

Role : Research Scientist 


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Job Description:

Sr Data Scientist - Text MiningFranklin Lakes, NJFull-timeH1B is also OK.

Job Description: This position is responsible for developing solutions to increase revenue and margin by utilizing Big Data Technologies like Hadoop, Spark, Machine learning and performing Data and Text Mining to improve Member Experience and Service Delivery.

ESSENTIAL FUNCTIONS

Lead the analyses of various structured or unstructured data sources for identifying actionable insights to enhance service delivery and improve Rx volume using Big Data Technologies (HDFS, Python, Hive, Pig, MapReduce and Machine Learning).Develop supervised learning algorithms by utilizing Text Mining and Machine Learning for improving business processes.Support advanced analytical and data mining efforts which could include but not limited to clustering, segmentation, logistic and multivariate regression, decision/CART trees, neural networks, time-series analysis, sentiment analysis, topic modeling, and Bayesian analysisVisualize, interpret, report, and communicate data findings creatively in a various formats and audiences using Shiny, Tableau, ggplot.Think creatively and work well both as part of a team and as an individual contributor. Keep pulse on new technologies (Apache Spark, D3) and solutions to solve business problems.

QUALIFICATIONS

Degree in Statistics, Applied Mathematics, Computer Science, Econometrics, Finance, Engineering, Operations Research, Bioinformatics, Information Systems, or related quantitative disciplines, with a minimum of five years of relevant experience (Bachelor’s required, Master’s or PhD’s preferred)Expert in analytical tools like R, SAS, SQL, Hive, PigExpert in visualization tools like Shiny, ggplot, TableauExperienced in writing MapReduce jobs on HDFS, D3.js and scripting in Python, LinuxExperienced with using relational database management systems (Oracle, Teradata, SQL Server, DB2 etc.)Facility with one or more data analytical methods such as regression, decision trees, experimental designs, support vector machines, machine learning and text miningOther Tools required: Java, Scala, Apache SparkExceptional ability to communicate and present findings clearly to both technical and non-technical audiencesExcellent interpersonal and collaboration skills

Job Type: Full-time

Required education:

Bachelor's

Required experience:

Data Scientist: 9 yearsHadoop, Spark,Python, Hive, Pig, MapReduce: 5 years


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