Data Scientist with GCP Cloud

We are looking for a Data Scientist with strong expertise in Google Cloud Platform (GCP) to design and implement advanced data models and deploy scalable machine learning solutions. The ideal candidate will have a deep understanding of data science techniques and practical experience working with GCP’s suite of cloud services.

Key Responsibilities: Data Science & Modeling:

• Design and develop machine learning models for predictive analytics and decision support.
• Apply advanced statistical, NLP, computer vision, and time series forecasting techniques.
• Create and optimize data pipelines and ETL workflows for model training and deployment.
• Cloud Implementation (GCP):
• Deploy and manage ML models using Vertex AI, AI Platform, and BigQuery ML.
• Build scalable data pipelines using Cloud Dataflow, Pub/Sub, and Cloud Composer (Airflow).
• Use Google Cloud Storage, BigQuery, and Cloud Functions for data integration and management.

Collaboration & Strategy:

• Collaborate with data engineers, cloud architects, and business teams to align models with business goals.
• Translate complex data insights into actionable recommendations.
• Ensure scalability, performance, and security of cloud-based data solutions.
• Required Skills & Experience:
• 8+ years of experience in IT with Data Science and Machine Learning.
• 2+ years of hands-on experience with GCP cloud services.
• Strong knowledge of Python, SQL, and TensorFlow/PyTorch.
• Proficient in BigQuery, Vertex AI, Cloud ML Engine, and Dataflow.
• Experience with MLOps practices and tools like Kubeflow, MLflow, or CI/CD pipelines.
• Solid understanding of cloud security, IAM, and service accounts.