Data Science

You are a skilled Data Scientist with 6-10 years of experience, specializing in Google Cloud Platform (GCP). Your expertise will be utilized to develop data-driven solutions using advanced analytics and machine learning models. Your primary responsibilities will include: - Designing and implementing ML models and data pipelines using GCP tools like Vertex AI, BigQuery, and Dataflow. - Conducting data wrangling, feature engineering, statistical analysis, and model tuning. - Collaborating with stakeholders to identify business issues and transform them into analytical solutions. - Deploying models in production, monitoring their performance, and driving continuous enhancements. - Ensuring compliance with data governance, model explainability, and industry standards. In terms of technical skills, you should have a strong command of GCP services such as Vertex AI, BigQuery, Dataflow, and Cloud Storage. Proficiency in Python, SQL, and ML libraries (Scikit-learn, TensorFlow, PyTorch) is essential. Experience with large datasets, data preprocessing, and data visualization tools is also required. Additionally, knowledge of MLOps practices, CI/CD, and version control tools like Git and Jenkins is crucial. A solid understanding of statistics, machine learning algorithms, and performance metrics is expected. A Bachelor's degree (B.Tech/B.E.) in Computer Science, Data Science, or a related field is mandatory for this role. You are a skilled Data Scientist with 6-10 years of experience, specializing in Google Cloud Platform (GCP). Your expertise will be utilized to develop data-driven solutions using advanced analytics and machine learning models. Your primary responsibilities will include: - Designing and implementing ML models and data pipelines using GCP tools like Vertex AI, BigQuery, and Dataflow. - Conducting data wrangling, feature engineering, statistical analysis, and model tuning. - Collaborating with stakeholders to identify business issues and transform them into analytical solutions. - Deploying models in production, monitoring their performance, and driving continuous enhancements. - Ensuring compliance with data governance, model explainability, and industry standards. In terms of technical skills, you should have a strong command of GCP services such as Vertex AI, BigQuery, Dataflow, and Cloud Storage. Proficiency in Python, SQL, and ML libraries (Scikit-learn, TensorFlow, PyTorch) is essential. Experience with large datasets, data preprocessing, and data visualization tools is also required. Additionally, knowledge of MLOps practices, CI/CD, and version control tools like Git and Jenkins is crucial. A solid understanding of statistics, machine learning algorithms, and performance metrics is expected. A Bachelor's degree (B.Tech/B.E.) in Computer Science, Data Science, or a related field is mandatory for this role.