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
