Client: US Army


  • Collaborate with cross-functional teams, including product management, UI/UX, and software development, to identify, define, and prioritize data-driven initiatives in the contingent labor domain
  • Develop and implement Natural Language Processing (NLP) and machine learning algorithms for text classification, text generation, regression, and forecasting projects
  • Oversee data science development throughout the project lifecycle, from ideation to production deployment
  • Evaluate and validate the performance of production models, ensuring their continued alignment with stakeholders’ requirements and expectations
  • Communicate effectively with stakeholders to understand their needs and translate them into well-defined data science projects
  • Present technical findings and recommendations to both technical and non-technical audiences, promoting data science success across the organization


  • 3+ years of experience in data science with a focus on Natural Language Processing (NLP)
  • Proven track record of successfully implementing Machine Learning (ML) models and statistical approaches to solve real-world problems
  • Strong analytical, problem-solving, and communication skills
  • Proficiency in Python
  • Hands-on experience with Azure, particularly in deploying and managing Machine Learning solutions
  • Familiarity with MLOps principles, tools, and techniques is a plus