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Data Scientist

Arlington, VA, USA
Up to $150,800/ year
Artificial Intelligence Engineer Data Scientist Machine Learning Engineer
Actively hiring

Data Scientist

CGI
Arlington, VA, USA
Up to $150,800/ year
Artificial Intelligence Engineer Data Scientist Machine Learning Engineer
CGI
Actively hiring

hackajob is partnering with CGI to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.

 

Data Scientist

Position Description
CGI Federal is looking for a Data Scientist for an exciting opportunity leading state-of-the-art solutions for a gratifying mission with worldwide impact. 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.
This position is located in Arlington, VA.


Your future duties and responsibilities
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.
Work with data engineers to design, develop, and maintain ETLs to extract, transform the data into existing data warehouses.
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.
Adept at picking up new tools and technologies.
Manage large complex projects involving diverse datasets.
Excellent technology communication and thought leadership skill.


Required qualifications to be successful in this role
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
Desired qualifications/non-essential skills required:
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, and IAM.

CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit-based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $78,400.00 - $150,800.00.
CGI Federal's benefits are offered to eligible professionals on their first day of employment to include:
• 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

hackajob is partnering with CGI to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.

 

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