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Data Scientist

SourceMantra Inc
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Responsibilities:

  • Architect/Design/Develop solutions that leverage various network domains. Responsible for defining the technical strategy related to translating business needs into innovative solutions.
  • Contribute to a Data Analytics Team to deliver technical solutions that meet client requirements in order to create dynamic data visualization and analysis tools to increase the ability of leadership to make informed decisions related to quality of care requirements, resources, costs, and overall operations.
  • Lead/advise mid-level and junior analysts in technical development.
  • Work with clients, managers, and technical staff to understand business needs and translate these needs into technical models.
  • Liaise with customer operations researchers and subject matter experts to improve the algorithm's effectiveness against Key Performance Indicators.
  • Extract, transform, integrate, and analyze data from disparate relational database management systems.
  • Conduct exploratory analysis and data visualization.
  • Develop machine learning and artificial intelligence models for predictive and prescriptive analyses.
  • Support implementation of data and analytical products at client facilities.
  • Support implementation of proofs of concept to help make technology choices and validate modeling assumptions.
  • Develop professional communication products in technical and functional areas that communicate business value to clients. Includes briefings (oral and written), white papers, and reports
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Requirements:

  • Bachelor’s in Data Science, Data Analytics, Data Engineering, Industrial Engineering, Operations Research, Systems Analysis, Statistics, Mathematics, or related STEM field.
  • Minimum of four (4) years of experience in a relevant field as described above.
  • Experience building a variety of machine learning models.
  • Experience building optimization and simulation models.
  • Experience in Object-Oriented Programming (Python, Java, or C++ are preferred).
  • Experience with SQL and relational databases.
  • Experience with statistical programming languages (R, Python, SAS, etc.).
  • Experience with Excel and Visual Basic for Applications.
  • Experience developing interactive data visualizations for exploratory analysis.
  • Experience deploying analytic applications on government IT systems and networks.
  • Excellent written and verbal communication skills with both technical and non-technical audiences.