Data Scientist-advanced analyticsIbm

Introduction
As a Data Scientist at IBM, you will help transform our clients' data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it's investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.
Your Role and Responsibilities
Combines deep data and analytics skills with strong business acumen to solve business problems by understanding, preparing, and analyzing data to predict emerging trends and provide recommendations to optimize business results. Responsibilities include working with business leaders to solve business problems by understanding, preparing, and analyzing data to predict emerging trends and provide recommendations to optimize business results. Skills include mathematical optimization, discrete-event simulation, rules programming and predictive analytics. Expected to have knowledge and/or experience in the following skills with focus on data science: Data Science, Apache Ambari, MapReduce, Spark, Labmda, Resilient Distributed Dataset, Java, Zookeeper, Knox, Big Data, IBM BigInsights, Apache Hadoop, SQL, RDBMS, Python, Big SQL, BigSheets+E5Big R, Text Analytics, GPFS, HDFS, Platform Symphony, Structured And Unstructured Data, Open Source, R, POSIX, Yarn, Sqoop, Flume, JSON, XML, NoSQL, HBase, Pig, Hive, Oozie, Apache Solr, JSqsh, Data Server Manager, AQL, Data Security, Data Governance, Networking, Neural Net
Required Technical and Professional Expertise
Must have development experience on Data Analytics
Willing to do pre-sales (client interface)
Preferred Technical and Professional Expertise
-front end experience is a plus
IBM

Quezon City, Metro Manila
Permanent
Full-time