Data Scientist

Overview

On Site
$50 - $55
Contract - W2
Contract - 12 month(s)
No Travel Required

Skills

Data Scientist

Job Details

Job Description:
  • The Data Scientist will be responsible for conducting in-depth data analysis, building predictive models, and developing data-driven solutions to support strategic business decisions.
  • This role requires a solid foundation in statistical techniques, strong programming skills, and the ability to communicate findings effectively to various stakeholders.
Responsibilities:
  • Conduct exploratory data analysis to discover trends, patterns, and anomalies.
  • Develop and implement statistical models for predictive and prescriptive analysis.
  • Interpret and communicate data-driven insights to non-technical stakeholders.
  • Clean and preprocess raw data to ensure accuracy and reliability.
  • Work with large datasets from diverse sources and formats.
  • Collaborate with data engineers to create and maintain data pipelines.
  • Develop algorithms for solving complex business problems.
  • Implement algorithms for pattern recognition, clustering, and classification.
  • Collaborate with business analysts, data engineers, and other stakeholders to understand business requirements.
  • Present findings and insights in a clear and understandable manner to both technical and non-technical audiences.
Requirement/Must Have:
  • Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics), master's degree in IT field, or equivalent experience in Data Science.
  • Proven experience as a Data Scientist or similar role.
  • Fluent in Structured Query Language (SQL).
  • Experience with Tableau and Power BI.
  • Proficiency in statistical analysis and data visualization tools.
  • Excellent problem-solving and critical-thinking skills.
  • Strong communication and collaboration skills.
Should Have:
  • 5+ years working in an analytics position for a large-scale IT system.
  • Working knowledge of healthcare programs (i.e., Medicaid).
  • An understanding of healthcare enterprise systems (claims, finance, members, providers), with the ability to understand and communicate from a business and technical perspective.
  • Knowledge of big data technologies and tools.
Qualification And Education:
  • Bachelor's or master's degree in relevant fields.

  • Industry-recognized data science certifications preferred:

    Certified Analytics Professional (CAP)
  • IBM Data Science Professional Certificate
  • Microsoft Certified: Azure Data Scientist Associate
  • SAS Certified AI and Machine Learning Professional
  • SAS Certified Data Scientist
Skills:
  • Experience with tools such as ArcGIS, Toad, SAS, SPSS, and RStudio.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.