CGI Federal is seeking Data Scientists to assist with new work within a data science division. Our candidates truly need a hybrid skill set to successfully contribute in data science projects. In addition to data analysis, we need people that also have strong IT technical skills, predictive modeling skills, specialized modeling and research methods backgrounds, and given our frequent work on client business processes, optimization and simulation skills.
Your future duties and responsibilities:
• Experience translating high-level project requirements into technical tasks.
• Data manipulation and data engineering experience involving structured and unstructured data.
• Data manipulation expertise involving data extractions, data matching between multiple systems, transformations, cleansing, and loading.
• Experience with big data and cloud platforms and toolset.
• Ability to engineer and create complex research datasets by manipulating typically large volume transactional data for use by operations research analysts, economists and statisticians in advanced analytical research and studies.
• Experience in developing predictive, prescriptive, optimization, and forecasting models, including the use of contemporary techniques such as support vector machines, neural networks, and gradient boosting.
• Experience in interpreting results from statistical and mathematical models.
• Experience in advance data visualizations and interpretation.
Required qualifications to be successful in this role:
• Bachelor’s degree and 7+ years of experience OR Master’s degree and 3+ years of experience
• Required: ***Strong Natural Language Processing (NLP) experience***
• Required: SQL (preferable in distributed environment, e.g. Greenplum, Apache Hawq).
• Required: Experience in SAS (preferred), R or Python for complex data manipulation, statistical analysis, and machine learning.
• Required: Experience with data visualization tools (e.g., Tableau, Bokeh, D3) or elastic stack (Kibana).
• Experience with modern machine learning libraries, including Keras, TensorFlow, PyTorch, MXNet, or MADlib.
• Experience using peer-collaboration tools, e.g., Confluence.
• Experience using GIT or other version control systems.
- Data Analysis
- Data Cleansing
- Data Engineering
- Data Modeling
What you can expect from us:
Build your career with us.
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