Job ID :
11570
Company :
Internal Postings
Location :
IRVINE, CA
Type :
Contract
Duration :
6 months
Salary :
open
Status :
Active
Openings :
1
Posted :
28 Feb 2018
Job Seekers, Please send resumes to resumes@hireitpeople.com
Job Details:

Must Have Skills (Top 3 technical skills only):
  • Work with stakeholders to identify opportunities for leveraging company data to drive business solutions.
  • Mine and analyze data from company databases to drive optimization and improvement of business strategies.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Develop custom data models and algorithms to apply to data sets.
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.
Detailed Job Description:
  • Python/R expertise with Data Science algorithms
  • Experience using statistical computer languages (R, Python.) to manipulate data and draw insights from large data sets. Experience working with and creating data architectures.
  • Knowledge of a variety of machine learning techniques /algorithms(clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
Minimum years of experience: 5+

Certifications Needed: No

Top 3 responsibilities you to shoulder and execute: 
  • Work with stakeholders to identify opportunities for leveraging company data to drive business solutions. Mine and analyze data from company databases to drive optimization and improvement of business strategies.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques. Develop custom data models and algorithms to apply to data sets.
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.