Description
Client: US Army
Responsibilities:
- 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
Qualifications:
- 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