Design, develop, and deploy machine learning models for risk scoring, compliance prediction, churn analysis and contractor performance analytics
Build and deploy Large Language Models (LLMs) based solutions for text data insights, anomaly detection, and automated compliance checks
Collaborate with engineering and product teams to integrate models into production systems hosted on AWS and Azure
Utilize Microsoft Fabric for data ingestion, transformation, and feature engineering
Implement best practices for model monitoring, retraining, and performance optimization
Participate as an integral member of a cross functional team using agile methodologies
Stay current with emerging technologies in AI/ML, predictive analytics, and supply chain risk management
Ability to communicate with non-engineers about how technology is solving business needs

Bachelor’s or master's in data science, Computer Science, Statistics, or related fields
Proven experience with Python, SQL, and ML frameworks (e.g., TensorFlow, PyTorch, Jupyter Notebooks)
Familiarity with AWS services (S3, SageMaker, Lambda) and Microsoft Fabric
Strong understanding of predictive modeling, NLP, and LLM architectures
Excellent problem-solving skills and ability to communicate complex concepts to non-technical stakeholders
Exceptional communication skills.

Data Scientist

Key skills