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Data Scientist II
Location:
US-NC-Greensboro - 27410
Jobcode:
SS0929
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Work with a team of data scientists, software engineers, UI/UX Designer, and Product Managers to create cloud-based applications that use statistical data analysis and machine learning to support new capabilities across Companyís product line and improve the efficiency and effectiveness of government agencies that use these products. Responsible for data cleaning including examine data sizes, missing values, duplicate records, inaccuracies in the clientís dataset and collected open dataset. Prepare datasets by combining useful columns, correct data types, impute missing values, scale raw data, etc. Automate data cleaning processes using Command-Line Interface in Python programming language. Responsible for descriptive data analysis to include analyzing distributions of data by computing statistical measurements. Visualize relationships, trends and distributions of variables using various plots and tables and conduct statistical data analysis such as hypotheses testing in R or Python. Participate in feature engineering to identify potential features that may affect responses of interest. Design and develop transformation methods for different types of features in Python and experiment with different settings in feature preprocessing by running pipelines. Carry out statistical modeling to craft classification and regression predictive models using statistical techniques and machine learning tools to provide innovative solutions for public safety and public administration. Develop and compare different hyperparameter tuning methods to improve efficiency and effectiveness of statistical models. Process large amounts of data stored in AWS S3 or database for statistical modeling. Build modeling pipeline components using Python and document the statistical methods for audiences with or without data science backgrounds. Participate in model performances evaluation including design metrics to evaluate model performances in different aspects and determine whether statistical methods are appropriate. Implement metric comparisons amount multiple machine learning models. Evaluate model performance by running evaluation pipelines in AWS batch, EC2 or step functions. Interpret and document statistical results in a report using charts, graphs and tables. Conduct statistical computing such Monte Carol simulation, bootstrap sampling and optimization. Write high-performance data migration tools in Go programming language. Create web application using Angular Framework to interface easily with other products. Conduct Sprint review, retrospective and planning for meetings with Scrum Masters, product managers, data scientists, and software engineers. Point new features and bug stories for next sprint. Participate in project planning and management. Research business problems and design projects by writing work plans for team. Create stories in Pivotal Tracker, lead the project, manage the progress, support team members for the tasks and production rollouts. Review teamís data science code in Bitbucket and give feedback and examine Mathematics and Statistics theories behind the functionality. The position requires a minimum of a masterís degree in Mathematics, Statistics, Data Analytics, Computer Science or related field. Masterís degree course work should include but is not limited to course work in Data Science, Big Data, Machine Learning, Artificial Intelligence, Database Management Systems and Software Engineering. Job located in Greensboro, NC. 40 hours per week. Mail resume to Paul Surprenant, CentralSquare Technology, 1000 Business Center Dr., Lake Mary, Fl. 32746. E.O.E.

Paul Suprenant
CentralSquare Technology
1000 BUSINESS CENTER DR
LAKE MARY, FL 32746-5585

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