transaction network services has an excellent opportunity for a data scientist this position will work closely with senior engineers to determine which data sets are needed and available for analyses and which data analyses to execute the position works with data architects to determine what data management systems are available andor appropriate the data scientist will often wrestle with problems associated with predictive models data integration and messy unstructured data sets their aim is to perform deep data analyses often for the purpose of establishing predicative models and to create clean usable data to whomever may require it and to assist with the analysis of that data the data to be analyzed is principally telecom data associated with call activity signaling events and call routing databases responsibilities include develop data set processes for data modeling mining and production discover predictive data models and decision trees acquire and prepare data for analytics purposes and assist with the execution of those analyses design construct install test and maintain data management systems sql nosql and big data research opportunities for data acquisition and new uses for existing data ensure data analytics systems meet business requirements and industry practices build and assist with highperformance algorithms prototypes predictive models and proof of concepts integrate new data management technologies and software engineering tools into existing structures employ a variety of languages and tools eg scripting languages r to marry data and systems together recommend ways to improve data reliability efficiency and quality collaborate with product architects data architects modelers and it team members on project goals qualifications technical skill required sql python unix linux solaris and ms windows sqlbased technologies eg postgresql and mysql hadoopbased technologies eg mapreduce hive nosql technologies eg hbase solr erd data modeling data warehousing solutions data mining statistical analysis and modeling database architectures nice to have predictive modeling nlp and text analysis matlab sas machine learning business skills required creative problemsolving approaching data organization challenges with a clear eye on what is important employing the right approachmethods to make the maximum use of time and human resources effective collaboration carefully listening to management data scientists and data architects to establish their needs intellectual curiosity exploring new territories and finding creative and unusual ways to solve data management problems industry knowledge understanding the way your chosen industry functions and how data can be collected analyzed and utilized maintaining flexibility in the face of big data developments 610 years experience with data driven technology bachelors degree in engineer with a strong focus on data sciencesdata modeling we have been delivering industryleading solutions for the payments financial and telecommunications industries since 1990 we are the preferred supplier of networking integrated data and voice services to many leading organizations in the global payments and financial communities as well as a provider of extensive telecommunications network solutions to service providers we are a privately held company with a healthy balance sheet secure assets and a loyal customer base that includes some of the largest global bluechip