Data is our next big engineering challenge. Our team is working to meet this challenge across OSG. We are looking for Data Scientists to help us build the data asset that will be used to improve our products and benefits our partners and customers and build this organizational capability.
We are looking for Data Scientists with the skills to help us to Collect Data from our devices, clients, and services in a trustworthy way, Process the Data via a world class data pipelines turning raw data in to analysis-ready materials, and Analyze the Data through analytical rigor and statistical method with tools and applications to develop models and uncover deep insights and enable engineering teams to utilize the data effectively, develop insights, and turn the data into value for our customers.
In this role our Data Scientists will build our Data Assets into the competitive advantage they can be. Working from the Hub Data Science team they will mentor the Spoke Data teams around flighting, collection, analysis, and utilizing our Data Assets. A successful candidate should be able to identify new and interesting internal and external data sources and signals, gather the data from these disparate sources with tools like Hadoop & HDInisght, work with our Services teams to process the data to the point that it can be analyzed. Candidates should have experience analyzing big data with statistical rigor using R, MATLAB, SAS, or similar statistical modeling tools to build models to find interesting new insights to drive business outcomes. Skills in C#, Python, Perl, or other scripting/programming language to help tie all of this together are important. Candidate should also have skills with SQL Server and SQL tools to build out cubes and data marts and enable additional self-serve analysis across Data Assets. In addition to this we are looking for Data Scientists with strong creative visualization skills to help build out reports to be consumed by Engineers and Managers.
Candidates should also have strong interpersonal and communications skills, great conceptual, analytical and problem solving abilities, ability to clearly communicating requirements, interest in working on hard ambiguous problems in a fast paced environment.
Technical Requirements:
Experience with Large Scale Data "Big Data"
Experience with Azure, HDInsight, & Excel
Experience with Machine Learning, Information Retrieval, Data Mining and Signal Processing
Degree in Computer Science, Statistics, Mathematics, or related field
At least 4 years (recent) analysis/programming experience in a production environment
3-5+ years of experience working with big data & analytics
Experience with Excel, R, MATLAB, AMPL, or SAS
Proficiency in at least one language/scripting languages, such as C#, Python, PowerShell, or Perl
Strong Mathematical background w emphasis in statistics
Database experience (SQL), SSAS, SQLPower Pivot
Experience with Hadoop, Map/Reduce runtimes.
Data Visualization expertise
Experience with Cosmos, Scope
Understanding of how ETW, Watson, and SQM work
Experience with WLI, Metron, or Telreports a plus
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, veteran status, genetic information, or any other protected status.
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