Senior Data Scientist, Google Cloud Platform (GCP)

West Monroe • New York, NY

1d

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.

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.

Benefits

• Employees (and their families) are covered by medical, dental, vision, and basic life insurance.
• Employees are able to enroll in our company’s 401k plan, purchase shares from our employee stock ownership program and be eligible to receive annual bonuses.
• Employees will also receive unlimited flexible time off and ten paid holidays throughout the calendar year.
• Eligibility for ten weeks of paid parental leave will also be available upon hire date.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees