What are the responsibilities and job description for the Data Scientist w/d (Google Cloud Platform & VertexAI) position at Ccube?
Job Details
Data Scientist with Google Cloud Platform Cloud
British Columbia, Canada (Hybrid)
Long Term
We are looking for a Mid-Level Data Scientist with strong expertise in Google Cloud Platform (Google Cloud Platform) ,Someone who has hands-on experience with Google Cloud, BigQuery and Vertex AI, Kubernetes Can 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 Google Cloud Platform 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 (Google Cloud Platform):
- 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:
- 5 years of experience in IT with Data Science and Machine Learning.
- 2 years of hands-on experience with Google Cloud Platform 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Salary : $70 - $80
