Senior Data Scientist

Key Skills

Aartificial intelligence, Apache Hadoop, C++, Computer Vision (CV), Data cleaning / Data cleansing, Data pipelines, Data science techniques, Data Warehousing, Design, DevOps, ETL frameworks, Machine learning techniques, Natural Language Processing (NLP), Python Programming, SPARK Programming

Job Description

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.
• 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
• Us Citizenship required per Government stipulation

Desired:

• 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.
• Active SECRET clearance or above preferred

What you can expect from us:

Insights you can act on

While technology is at the heart of our clients’ digital transformation, we understand that people are at the heart of business success.

When you join CGI, you become a trusted advisor, collaborating with colleagues and clients to bring forward actionable insights that deliver meaningful and sustainable outcomes. We call our employees “members” because they are CGI shareholders and owners and owners who enjoy working and growing together to build a company we are proud of. This has been our Dream since 1976, and it has brought us to where we are today — one of the world’s largest independent providers of IT and business consulting services.