Programming & Data Scientist Specialist

6 days ago


Atlanta, United States Diverse Systems Group Full time

We are seeking a Programming & Data Scientist Specialist to join our team and leverage data science methodologies to design models, analyze datasets, and develop data-driven solutions. The ideal candidate will combine technical expertise in programming, statistical modeling, and data analysis with strong communication skills to provide insights and support for client projects.
Key Responsibilities:

  • Develop and maintain data pipelines to ensure seamless data flow.
  • Create machine learning models and design data-driven solutions.
  • Optimize data infrastructure and algorithms to improve performance.
  • Analyze complex datasets and present insights to stakeholders.
  • Collaborate with cross-functional teams to meet client objectives.
  • Develop statistical models, including econometric and stress testing/CCAR models.
  • Implement data preservation and decommissioning processes.
  • Conduct data analysis using R, Python, SQL, and SAS Viya.
  • Produce graphical representations and simulations of data for analysis.


Requirements

Required Skills:
  • Proficiency in R programming, Python, SQL, and data visualization tools.
  • Experience with statistical modeling, econometrics, and machine learning algorithms.
  • Familiarity with Linux and Windows operating systems, including their key differences.
  • Understanding of structured vs. non-structured data storage, cloud vs. on-prem hosting, and archiving vs. migrating applications.
  • Knowledge of database management, including SQL language and its applications.
  • Strong communication skills and ability to present technical findings effectively.
  • Proficiency in Microsoft Word, Excel, and Access.
Preferred Skills:
  • Experience in SAS Viya and data modeling.
  • Knowledge of ad sales and related data processes.
  • Solid background in statistics, mathematics, and data science methodologies.
Work Environment:
This position is based in Atlanta, GA, and requires collaboration with internal teams and external clients.

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