Our client is seeking a Senior Data Science Engineer to join a high-impact AI engineering team responsible for delivering enterprise-scale machine learning and data science solutions. This role focuses on building, deploying, and optimizing predictive and data-driven models within a cloud-based ecosystem while collaborating closely with engineering and business teams to solve complex business challenges in a fast-paced enterprise environment.

Responsibilities & Qualifications

• Deliver end-to-end data science and machine learning solutions aligned with business objectives
• Implement full lifecycle data science workflows, including data preparation, modeling, deployment, and evaluation
• Develop predictive models, recommendation engines, and advanced analytics solutions
• Build and manage scalable ML workloads in cloud environments, preferably Google Cloud Platform (GCP)
• Utilize big data and orchestration tools such as BigQuery, Dataflow, Dataproc, AI Platform, and Airflow
• Collaborate with engineering and business stakeholders to translate requirements into scalable data science solutions
• Communicate technical insights and recommendations to both technical and non-technical audiences
• Evaluate and adopt new data science and machine learning techniques to drive innovation and efficiency

Requirements

• Master’s or PhD in Computer Science, Statistics, Mathematics, or related field
• 10+ years of experience in data science, analytics, or related technical roles
• Proven track record delivering production-grade data science solutions with measurable business impact
• Strong programming expertise in Python
• Hands-on experience working with GCP services such as BigQuery, Dataflow, Dataproc, or similar cloud platforms
• Experience deploying machine learning models in scalable production environments
• Excellent communication and collaboration skills in enterprise environments
• Ability to work independently while collaborating across cross-functional teams