Senior Data Science Engineer

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

Created: 2026-03-10