What are the responsibilities and job description for the Data Science Consultant with ML/GenAI || Contract at Raleigh, NC position at IT First Source?
Job Details
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.