Data Scientist


Data Scientist


Position Description:

  • CGI is actively seeking a Senior Data Scientist to join our team and play a crucial role in advancing our Data Science and AI/ML initiatives within product development.
  • The ideal candidate will be at the forefront of cutting-edge technologies such as Generative AI and other emerging tech, harnessing the power of large datasets to uncover opportunities for product and process optimization.
  • This individual will utilize sophisticated models to evaluate the effectiveness of various strategies, demonstrating proficiency in data mining and analysis techniques, leveraging a diverse set of data tools, constructing and deploying models, designing algorithms, and conducting simulations.
  • We are looking for a candidate who possesses a track record of driving tangible business outcomes through data-driven insights.
  • The successful candidate will excel in collaborating with a diverse array of stakeholders and functional teams, bringing a passion for unearthing innovative solutions within extensive datasets and partnering with stakeholders to enhance business outcomes.
  • If you are enthusiastic about exploring the potential of Generative AI and other emerging technologies to drive impactful results, we encourage you to join our dynamic team at CGI.
  • This positions preferred location is Lafayette, LA, Lebanon, VA, Belton, TX, Knoxville, TN or Fairfax, VA; however, a hybrid working model is acceptable.
  • Due to the nature of this government contract, US Citizenship is required.

Your future duties and responsibilities:

  • Automate feature engineering, model training, and evaluation process.
  • Monitor, optimize, and maintain ML solutions.
  • Designing, developing, and researching Machine Learning systems and models.
  • Training and retraining ML systems and models.
  • Develop solutions leveraging cloud native platforms and data analytic technologies including but not limited to VPCs, IAM, Lambda, Sagemaker, S3 or Azure equivalent.
  • Identifying differences in data that could affect model performance in real-world situations.
  • Design, develop & maintain ETLs to extract, transform and load the data into existing data warehouses.
  • Verifying data quality and/or ensuring it via data cleaning for accuracy and completeness.
  • Performing statistical analysis and using results to improve the models.
  • Develop production level dashboards to display trends, KPIs, and machine learning predictions.
  • Analyze complex datasets, detect trends and patterns, develop conclusions, and provide recommendations.
  • Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and encouraging data-driven decision making across the organization.
  • Translate business needs and vision into roadmap, project deliverables & organization strategy.


Required qualifications to be successful in this role:

  • BS or MS degree in Computer Science, Engineering, Information Technology Management or other STEM related discipline.
  • High comfort level with AI/GenAI products.
  • Experience with AWS - data and analytics technologies including but not limited to Glue, Athena, Lambda, S3, IAM.
  • Strong understanding of SQL and ETL tools with experience in relational databases.
  • Ability in managing large complex projects involving diverse datasets.
  • Programming experience in Python with 3+ years experience.
  • Cloud experience, such as Azure, AWS or GCP
  • Adept at picking up new tools and technologies.
  • Excellent technology communication and thought leadership skill.
  • Strong analytical and problem solving skills.
  • Work experience in applied machine learning / data science
  • Work experience in Data related field.
  • Strong communication and team working skills.
  • Preference will be given to candidates with a strong development background.

Desired qualifications/non-essential skills required:

  • Master’s degree in Computer Science, Engineering, Information Technology Management or related technical field.
  • Proven ability to organize and manage multiple priorities in a timeline driven environment.
  • MLOps knowledge and experience is highly appreciated.
  • Strong know-how in deep learning frameworks like Pytorch or Tensorflow
  • Experience with data visualization and reporting tools such as Tableau or Power BI.
  • Experience in full stack development definite plus


  • Python
  • SQL

How to Apply:

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Location: Lafayette, LA
Date Posted: June 12, 2024
Application Deadline: July 15, 2024
Job Type: Full-time