Senior Data Scientist

Note:- Master is Mandatary

Position: Senior AI/ML Scientist

Location: St. Louis, MO ( Remote )
Duration: Long-Term Contract
Experience Required: 8 10 Years

Position Overview

We are seeking an experienced Senior AI/ML Scientist to design, build, and scale machine learning solutions that drive personalization, customer intelligence, and data-driven decision-making across the organization. The ideal candidate will work at the intersection of advanced machine learning, statistical modeling, and emerging Generative AI and Agentic AI technologies, collaborating with engineering, product, and business teams to transform data into measurable business outcomes.

Responsibilities:

• Design, develop, and deploy production-grade propensity models, recommendation engines, and other predictive ML systems end-to-end. Lead applied research and rigorous statistical analysis to inform model design, experimentation, and business strategy.
• Build, train, and operationalize models on Google Cloud Platform (Google Cloud Platform) using services such as Vertex AI, Big Query ML, Dataflow, and Cloud Run.
• Prototype and integrate Generative AI and Argentic AI capabilities into existing ML workflows and customer-facing products.
• Partner with data engineering teams to design feature stores, training pipelines, and model monitoring frameworks.
• Translate ambiguous business problems into well-scoped ML solutions and communicate results clearly to technical and non-technical audiences.
• Mentor junior data scientists and contribute to best practices in modelling, experimentation, and MLOps. PhD in Computer Science, Statistics, Machine Learning, Applied Mathematics, or a related quantitative discipline.
• 5+ years of hands-on industry experience building and deploying ML models in production. Deep expertise in propensity modelling, recommendation systems, and statistical analysis (causal inference, A/B testing, experimental design)
• Proven experience developing and deploying ML models on Google Cloud Platform, including services like Vertex AI and Big Query.
• Solid working knowledge of Generative AI and Agentic AI LLMs, RAG, prompt engineering, agent frameworks, and evaluation methods.
• Strong Python programming skills, with proficiency in libraries such as scikit-learn, TensorFlow or PyTorch, pandas, and NumPy.