Data Scientist

Job description

Job Description

Data Scientist

Position Description
Put your years of experience into a future of excellence at CGI Federal. We are seeking a Data Scientist to support operations in our Lafayette, LA location.

A successful candidate will be responsible for identifying business trends and problems through complex data analysis and interpreting results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently for the Army Training Information System (ATIS). Additionally, the data scientist will design, develop, and implement business intelligence solutions based on structured and unstructured data, analytical tools, predictive tools, and reporting tools. Develop and train machine learning and other predictive models to meet ATIS requirements. The data scientist will prepare big data, implement data models, and will develops database(s) to support the business solutions. The data scientist will work with a team of developers and engineers.

Your future duties and responsibilities
• 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 completing 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.

Required qualifications to be successful in this role
• 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.

Desired Qualifications:

• 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.

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Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status, political affiliation, genetic information, or any other legally protected status or characteristics.

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Skills

Reference

605073