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 :
* Domain about Watson Explorer and other Watson Analytics products
* Domain in text mining (characterization, summarization, aggregation)
* NoSQL Database Domain
* Mastery in natural language processing algorithms, machine learning, information retrieval / retrieval and advanced analytics
* Cloud platform knowledge
* "Twelve Factor"
* Desirable specialization in one of the following areas: Natural Language Processing, Image Processing, Video Processing, Voice Processing and Watson technologies |WEX, WDC, WEA, Big Data analytics-R, Python, Spark, Weka, Mahout, Hadoop, Hive and HBase
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