Full Stack Data Scientist

Role Summary

We are seeking a driven Full Stack Data Scientist to join our team and build impactful machine learning solutions, developing and deploying machine learning models that directly enhance our product and solve critical business challenges, taking ownership from concept through to production and ongoing performance monitoring.

Key Responsibilities

• Develop and deploy end-to-end machine learning models, LLMs, and AI agents, from experimentation to production and monitoring
• Design and integrate feature engineering pipelines into product workflows
• Identify opportunities to apply ML/generative AI to improve processes or create new product features
• Evaluate model/agent performance in production and continuously improve
• Stay informed on AI/ML advancements relevant to supply chain optimization
• Collaborate with clients, project managers, data engineers, and analysts

Required Skills

• Strong foundation in mathematics, statistics, and machine learning principles
• Proven ability to build and deploy time series forecasting models at scale
• Experience with ML algorithms: Neural Networks, anomaly detection, regression, classification, clustering
• At least 2 years of hands-on Machine Learning experience
• Advanced Python and SQL
• Basic understanding of AWS services (ECS, Lambda, SageMaker, etc.)

Nice to Have

• Supply chain business context and data experience
• ETL technologies and DBT
• Deep learning frameworks (TensorFlow, PyTorch)
• MLOps/orchestration tools (MLFlow, Airflow, Dagster)
• LLM fine-tuning, AWS Bedrock agents