Data Science Consultant with ML/GenAI || Contract at Raleigh, NC

Data Science Consultant with ML/GenAI || Contract at Raleigh, NC

Model Development & Technical Expertise

• Collaborate with cross-functional teams IT Product, Merchandising, Supply Chain, and Finance to Design and deploy machine learning solutions for demand forecasting, pricing, labor optimization, and supply chain efficiency.
• Hand-on expertise in training models such as structural time series modeling and boosting algorithms (e.g., XGBoost, LightGBM) using Gigabyte/petabyte scale data using pyspark or similar frameworks.
• Hands-on Expertise and knowledge of MLOps best practices and ML Engineering, to design and build robust batch and inference ML architectures.
• Establish best practices for model development, validation, and monitoring to ensure accuracy, scalability, and impact.
• Develop and tune machine learning models using Python, PySpark, TensorFlow, and PyTorch.
• Create robust and scalable AI/ML frameworks and build robust architectures.

• Familiarity of GenAI and agentic solutions, Retrieval-Augmented Generation (RAG) and model distillation is a plus.

Collaboration & Communication

• Promote data-driven culture through analytical storytelling and stakeholder engagement.
• Work closely with stakeholders to understand business challenges and translate vague business requirements into data science solutions and work in the end-to-end solutioning.
• Collaborate with cross-functional teams to ensure successful integration of models into business processes.
• Ability to mentor and provide guidance to junior team members.

Monitoring & Visualization

• Rapidly prototype and test hypotheses to validate model approaches.
• Build automated workflows for model monitoring and performance evaluation.
• Create dashboards using tools like Databricks and Palantir to visualize key model metrics like model drift, shapley values etc.

Agile Execution

• Operate effectively in Agile environments, contributing to iterative development cycles and sprint planning.
• Adapt quickly to changing priorities while maintaining high standards of quality and innovation.

Education & Experience:

• 5+ years of experience in Data Science, Machine Learning, AI/GenAI.
• Master s degree in Computer Science, Statistics, Operations Research or similar.

Preferred:

• Experience in Retail Industry
• AI/ML certifications in Vertex AI/Databricks/AWS.
• 1+ years of experience as team lead.