Senior Data Scientist, Google Cloud Platform (GCP)West Monroe Partners, LLC • United States

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Senior Data Scientist, Google Cloud Platform (GCP)

West Monroe Partners, LLC

United States

United States

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West Monroe is seeking a highly skilled and experienced Senior Data Scientist to join our growing Data & Analytics team. This role will involve working closely with cross-functional teams, including data engineers, analysts, and business stakeholders, to deliver actionable insights and scalable models that drive value. Key Responsibilities * Design, develop, and deploy machine learning models and advanced analytics solutions on GCP to solve business problems. * Design, develop and deploy agentic models in GCP. * Conduct exploratory data analysis (EDA) to uncover trends, patterns, and actionable insights. * Build predictive, prescriptive, and descriptive models using tools like TensorFlow, BigQuery ML, AutoML, and Vertex AI. * Evaluate model performance and optimize for accuracy, scalability, and interpretability. * Utilize GCP services such as BigQuery, Cloud Storage, Dataflow, Cloud Functions, and Vertex AI to build end-to-end data science workflows. * Design and implement scalable data pipelines in collaboration with data engineers using GCP-native tools. * Ensure solutions are secure, cost-efficient, and aligned with best practices for cloud-based data science. * Partner with business stakeholders to understand their challenges and translate them into data science solutions. * Communicate complex technical concepts to non-technical audiences through clear visualizations, storytelling, and presentations. * Mentor junior data scientists and collaborate with team members to promote knowledge sharing and innovation. Qualifications * Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. * 4+ years of hands-on experience in data science, machine learning, and advanced analytics. * Strong expertise in Google Cloud Platform (GCP) services, including BigQuery, Vertex AI, Cloud Storage, and Dataflow. * Proficiency in programming languages such as Python and SQL. * Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). * Solid understanding of statistical methods, data modeling, and algorithm development. * Proven ability to deploy production-ready models and monitor performance over time. * Preferred GCP certifications (e.g., Professional Data Engineer, Professional Machine Learning Engineer). * Experience with containerization (e.g., Docker, Kubernetes) and CI/CD pipelines for ML models. * Familiarity with MLOps practices and tools for model deployment and monitoring. * Knowledge of other cloud platforms (AWS, Azure) and their data science services.

United States

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English

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