Sr. Data Scientist

Below are the MUST have Required Skills:

• 4+ years of experience in Machine Learning model development and deployment and scaling in production.
• Strong skills in Python
• Solid experience and understanding of ML libraries TensorFlow, PyTorch, scikit-learn, XGBoost.
• Hands-on expertise in Google Cloud Platform Vertex AI , GCS , BQ
• Python, TensorFlow/PyTorch, scikit-learn, Jupyter
• Google Cloud Platform Vertex AI Suite (including Pipelines, Feature Store, Model Monitoring)
• BigQuery, Git, Docker

Preferred Skills:

• Experience with MLOps tools such as Kubeflow, MLFlow, or TFX.
• Prior implementation of CI/CD pipelines for ML model deployment.
• Exposure to large language models (LLMs), foundation models, or generative AI use cases.

Additional Skills:

• Thorough in Python including clean code practices, writing modular code with test coverage, experience in building and productionizing scalable ML models in cloud platforms (preferably Google Cloud Platform), experience in building practical applied AI solutions with rapid turnaround time, knowledge about best practices of DevOps and MLOps preferred.

Day to Day responsibilities:

• Lead design and deployment of scalable ML models on Google Cloud Platform Vertex AI.
• Partner with engineers and product teams to build end-to-end AI/ML pipelines.
• Streamline experimentation and deployment with Vertex AI Pipelines & Monitoring.
• Drive responsible AI practices (explainability, bias detection, monitoring).
• Architect secure, high-performance ML solutions for production.
• Monitor, refine, and improve models based on drift and feedback.
• Provide technical leadership via code reviews, design discussions, and agile rituals.
• Document best practices and mentor teams on cloud-based AI/ML.

Scope for Request:

• This position is for the approved HCAC producer headcount to support Assortment and Space AI Crown Jewel initiative.
• This position will be supporting Category Management, initiative which is one of the AI crown jewels for 2025/2027 with a focus on developing AI driven capabilities to support assortment planning, space planning and optimization solutions.

FROM THE SUPPLIER CALL

Project Outlook:

• Merchandising Portfolio
• Project is 2 AI initiatives
• Assortment management
• Space optimization
• This role will help build AI capabilities
• Will also monitor other models
• On site 5 days a week. This could be amended if the search does not yield strong candidates but right now no remote flexibility
• Probably will end up being a contract to hire but right now it s a long term contract

Requirement:

• Understanding business functions
• Coming up with AI solutions
• Cloud (they use Google Cloud Platform but experience with any of the big 3 are fine)
• Python (Must)
• Hands on implementation of AI models (not just conceptualizing, proof of concepts, ect.) (Must)
• Be able to develop capabilities all the way to production
• Be able to monitor model performance
• Develop model visibility frameworks
• 4+ years of experience