Job Title: Data Scientist
Full-time
Job Description:
- Development and review of statistical models and data architecture
- Develop and train machine learning models and other predictive and artificial intelligence tools
- Identify opportunities for efficiencies in work process and innovative approaches to completeing scope of work
- Participate in team problem solving efforts and offer ideas to solve client issues
- Conduct relevant research, data analysis, and create reports
- Individual will be responsible for quantitative analysis of structured, semi-structured, and unstructured data working in small teams to develop, test, and harden advanced analytical models as required
- Contribute to the design advanced analytics concepts to help the training enterprise to identify training requirements to meet emerging issues in a complex world
- Bachelors or Advanced degree in Mathematics, Statistics, Accounting, Economic, Finance or other technical disciplines AND and 2 years' experience is required for this role. Additional experience may be substituted in lieu of degree requirement.
- 2-5 years of relevant consulting or industry experience applying predictive, prescriptive or AI models in financial analysis, transformation, or strategic initiative.
- Experience with developing predictive models on accuracy using large data sets for high transactional volume environment
- Experience with evaluating and measuring performance of models
- Should have a firm understanding of common statistical modeling and techniques (e.g., linear regression, logistic regression, decision trees, etc.).
- Perform the above tasks using Python or R.
- Excellent verbal, written, and interpersonal skills.
- Ability to express ideas clearly, confidently, and diplomatically.
- Proficiency in word processing, spreadsheet, and presentation creation tools, as well as Internet research tools.
- Strong orientation to quantitative, data-driven analysis using stats packages such as SAS (modeler, statistics, text analytics); STATA; or SPSS; MATLAB; R.
- Proficient in SAS reporting tools.
- Understanding of Oracle database, Relational Database, Unstructured Data.
- Ability to work effectively within a team environment.
- Due to the nature of the government contract requirements and/or clearance requirements, US citizenship or Permanent Resident is required.
- Exceptional attention to detail and proven ability to identify process improvement opportunities.
- Advanced statistics and machine learning/NLP techniques and algorithms using R, Python, Java on ML platforms such as Spark, H20 etc.
- Prior experience in a learning environment.
Apply online at www.cgi.com
Date Posted: 3/19/2018