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Data Scientist job in Raleigh at AARATECH INC.

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Data Scientist at AARATECH INC.

Data Scientist

AARATECH INC. Raleigh, NC Contractor
$60,000 - $70,000/Year
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  • Collaborate with members o f the development team and project managers to deliver solutions that surpass client expectations.
  • Understand Big Data Concepts including Data Lakes, Data Warehouses, Data Marts, Analytical Marts, Feature Marts
  • Be proficient in SQL and be able to construct SQL queries for data analysis
  • Experience in the use of Data modeling tools like Erwin and how to reverse engineer data using Erwin
  • Be able to review and understand Conceptual, Logical, and Physical data models
  • Experience working on cross-functional Agile teams.
  • Agile requirements experience - be able to construct a product backlog, write Epics, Features, User stories
  • Be able to facilitate business and technical requirements definition discussions with business and technical stakeholders
  • Exposure to Hadoop and the Hadoop ecosystem of tools such as Hive, and understand the purpose and use of these technologies and tools at a conceptual level
  • Good analytic skills related to working with both structured and unstructured datasets.
  • Work with stakeholders including the Executive, Product, Data, and Design teams to assist with identifying and solving data-related requirements
  • Identify, analyze, and interpret trends or patterns in complex data sets.
  • Ability to build processes supporting data transformation, data structures, metadata, dependency, and workload management.
  • Develop predictive models and machine learning algorithms using advanced methodologies
  • Develop statistical learning models for data analysis
  • Design and develop data mining and machine learning models and algorithms
  • Using machine learning and statistical techniques
  • Develop statistical models for data analysis
  • Demonstrate an advanced Knowledge of data mining, predictive analytics, machine learning and data visualization
  • Support analytics and machine learning model development
  • Implement data driven business solutions using advanced statistical methods and machine learning techniques
  • Clean and explore data and implement statistical/machine learning models
  • Create machine learning data models that develop new insights over time
  • Providing advanced predictive data analytics using big data and data science technology for healthcare innovation
  • Generate analytics on big data
  • Solve statistical, machine learning, analytical and data mining problems
  • Leverage statistical data modeling, data mining and machine learning techniques to provide solutions to new business problems
  • Deploy predictive models and/or machine learning algorithms on large static and/or streaming data sets
  • Optimizing classifiers using machine learning techniques
  • Building the coolest machine data analytics systems
  • Using various types of algorithms and machine learning modeling techniques.
  • Define and develop machine learning and data mining strategies

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