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Middle (2-5 ani), Entry (0-2 ani)

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  • Assess project requirements and available data to consider modeling approach
  • Confirm project requirements by studying user and project requirements; confer with others on project team to establish a common understanding of modeling issues.
  • Develop modeling plan and seek feedback from client facing team and client
  • Create high quality models that result in high quality client deliverables
  • Maintain documentation that allows for complete knowledge transfer to new and existing staff.
  • Coordinate with other team members to either obtain or provide support
  • Maintain client confidence and protect confidentiality of information.
  • Provide insights to client inquiries and deliver high level of service.
  • Enhance comprehension of team regarding statistical models and statistical methods
  • Maintain technical knowledge by attending educational workshops; reviewing publications; establishing personal networks; participating in technical societies.
  • Put in a theoretical structure 
  • Managing the local talents and supervising new team members

Mandatory skills:

  • Seven-year experience
  • PhD mathematics, predictive modeling,statistics
  • R or Python
  • Currently creating snow-flake schemas to increase data access efficiency
  • Ability to translate data relationships into models
  • Experience in any industry (. marketing industry) 
  • Hands on building predictive models - practical modeller
  • Modelling experience in a business environment
  • ETL experience to add attributes (technology used: scheduled SQL scripts)
  • Proven track record working as a consultant in data analytics projects in Financial ServicesFamiliar with Risk Management approaches and requirements
  • Intermediate to advanced SQL skills to query and aggregate data
  • Excellent analytical and problem-solving skills
  • Strong oral and written communication skills in English language with the ability to effectively

Desirable skills:

  • Convey information in a clear and concise manner
  • Ability to translate data into meaningful and actionable recommendations
  • Ability to handle multiple, complex projects in a deadline-driven environment
  • Working knowledge of basic statistical concepts and methods, including regression analysis
  • Some experience working with MATLAB, IBM SPSS, SAS Business Intelligence or other similar modeling/analytics tools a plus