Senior Data Scientist, Google Cloud Platform; GCP

Position: Senior Data Scientist, Google Cloud Platform (GCP)
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 Tensor Flow, Big Query ML, AutoML, and Vertex AI.

* Evaluate model performance and optimize for accuracy, scalability, and interpretability.

* Utilize GCP services such as Big Query, 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 Big Query, Vertex AI, Cloud Storage, and Dataflow.

* Proficiency in programming languages such as Python and SQL.

* Experience with machine learning frameworks (e.g., Tensor Flow, 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.