CGI Group-posted 4 months ago
$111,600 - $271,800/Yr
Arlington, TX
5,001-10,000 employees
Professional, Scientific, and Technical Services

CGI Federal is looking for a Data Scientist for an exciting opportunity leading state-of-the-art solutions for an intelligence community mission system. We are searching for a creative, visionary problem solver who has a passion for delivering state-of-the-art solutions. In this role, you will deliver quality production solutions that embody solid MLOps practices to significantly expand customer capabilities.

  • Support development of Artificial Intelligence (AI)/ML based pipelines for data inference.
  • Apply supervised, unsupervised, and NLP Machine Learning (ML) algorithms for clustering, classification dimensionality reduction, and metadata extraction & content analysis.
  • Work in cross-functional engineering and product development teams with data at all stages of the analysis lifecycle to derive actionable insight.
  • Analyze complex datasets, detect trends and patterns, develop conclusions, and provide recommendations to improve data ingestion, increase data scaling, and enhance data exploitation to ensure more interoperable and secure data.
  • Verify data quality and/or ensure it via data cleaning for accuracy and completeness.
  • Perform statistical analysis and utilize results to improve the model and data pipeline.
  • Collaborate with analytics teams and SMEs to improve data models that feed business intelligence tools, increasing data accessibility and encouraging data-driven decision making across the organization.
  • Automate data analysis to improve and enhance data quality.
  • Adept at picking up new tools and technologies.
  • Manage large complex projects involving diverse datasets.
  • Excellent technology communication and thought leadership skill.
  • BS or MS degree in Computer Science, Engineering, Information Technology Management or related technical field.
  • 7+ year's experience obtaining data from multiple, disparate data sources including structured, semi-structured and unstructured data.
  • Demonstrable expertise in an area of data science or analytics (e.g. machine learning, deep learning, NLP, computer vision, predictive modeling and forecasting, statistics).
  • Proficiency in tools and languages such as Graph DBs, PostgreSQL/SQL, Python, or Java.
  • Experience using ML algorithms packages contained in AWS SageMaker or open-source libraries (Python, C++, etc.)
  • Experience developing, verifying, and monitoring AI/ML Models.
  • Familiarity with DevOps processes and code versioning tools such as git.
  • TS/SCI with CI Poly clearance.
  • Master's degree in Computer Science, Engineering, Information Technology Management or related technical field.
  • Demonstrated experience with enhancing, managing, optimizing performance, and processing large volumes of data.
  • Familiarity with industry best practices for software/hardware development when processing large data sets.
  • Experience in the following required task areas: machine learning, statistical modeling, time-series forecasting, and/or geospatial analytics.
  • Experience with Hadoop, Spark, or other parallel computing processes.
  • Experience with using the Joint Enterprise Modeling and Analytics (JEMA) framework or Apache NiFi to develop data processing workflows.
  • Experience in AWS services including but not limited to Sagemaker, S3, EMR, Bedrock, and IAM.
  • Competitive compensation
  • Comprehensive insurance options
  • Matching contributions through the 401(k) plan and the share purchase plan
  • Paid time off for vacation, holidays, and sick time
  • Paid parental leave
  • Learning opportunities and tuition assistance
  • Wellness and Well-being programs
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