Big Data Scientist

Position:              Big Data Scientist
Contract:             6 Month + Contract
Location:             Memphis, TN & Remote

The Big Data Scientist will be a data expert with data tools (ex. Platfora, Hadoop) and new platform technologies (ex. Cloud, SaaS, etc.) in order to generate analytics and results, ultimately leading to a robust Data Science program supported by a robust Data Governance framework. The Big Data Scientist will be participating in project activities including source data analysis, software design, implementation, Proof of Concept testing, client training and system deployment. This person will provide subject matter expertise with regards to Big Data tooling for analytics and reporting. They will need to answer client questions ranging from how to solve specific problems with large data sets to how to script and query in selected tools. This person will provide data-driven analysis and development of standardized and custom reports and queries, and be a technical expert in the areas of data analysis, predictive models, data mining, machine learning, and statistical modeling techniques.

RESPONSIBILITIES:

  • Work with customer contacts and technical teams to:

a)      Design, develop and deploy data-driven predictive models to solve business problems using the best-in-class data mining, machine learning, and statistical modeling techniques

b)      Analyze large data sets to discover trends, identify performance metrics, uncover optimization opportunities

c)       Apply machine learning algorithms and statistical methods to billions of transactions of raw data

d)      Continuously improve algorithms and develop best practices

e)      Identify new internal and external data sources that will generate value to the customers; work closely with data teams to put these data sources into production for the use of the modeling teams

  • Lead, plan, facilitate data analysis on integration functional and non-functional requirements and validation sessions; assist clients in prioritization for phased implementation
  • Profile data from disparate systems to derive enterprise canonical data models and Data Analytics and advanced BI reporting
  • Develops detailed analysis, design, development and testing specifications ensuring technical compatibility and integration for high volume systems
  • Develop and communicate measurable goals, strategies, and tactics for data teams
  • Partners with Stakeholders and team members to capture and analyze business needs and information requirements, define optimum system requirements to meet business needs and prioritize and manage new requirements
  • Partner with Stakeholders to formulate MDM / BI strategies
  • Lead in assessment of upstream and downstream impacts resulting from integration component and/or element changes and communicate with team leads to ensure adequate integration tests & procedural coverage
  • Communicate status regularly; identify and escalate risks related to scope, timeline, and quality to project leads in a timely fashion

 REQUIREMENTS:

  • 6+ years of experience in business analysis, and gathering & documentation of data requirements from business & technical users
  • 4+ years of experience with BI, BPM and advanced reporting platforms
  • 4+ years of recent experience in business process and information systems analysis
  • Hands on experience with Pivotal, Platfora, TerraData and related Big Data and Analytics tools using massive data sets across multiple data centers
  • Demonstrated knowledge of various techniques for gathering & documenting data requirements, including use cases, conceptual & logical data modeling, and flow diagramming
  • Experience with data mining, query design, advanced algorithms, predictive modeling and statistical analysis
  • Outstanding communication, organization, time management, interpersonal skills, and ability to handle multiple tasks with strict deadlines
  • BA or BS Degree in Information Management, Business, Finance, or related discipline, or equivalent combination of education and experience is required

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