Lead Data Scientist
BrigitFull Time
Expert & Leadership (9+ years)
Candidates should possess a Bachelor's degree in Computer Science, Information Security, or a related field, and have 5-8 years of experience in Data Analytics with strong SQL and Python skills. Hands-on experience with Snowflake and prompting Cortex functions is a plus, along with a strong understanding of databases, data modeling, and data warehousing.
In this role, the Senior Security Data Analyst will develop and optimize data pipelines, data models, and visualization dashboards for security analytics, design and develop scalable automated solutions in collaboration with security teams, and take ownership of database management tasks, including data modeling and performance optimization. They will conduct research and propose innovative approaches to enhance security posture, translate security requirements into technical solutions aligned with organizational goals, and utilize tools like DBT to streamline data transformations and ensure data quality.
Data management and analytics platform
Snowflake provides a platform called the AI Data Cloud that helps organizations manage and analyze their data. This platform allows users to store and process large amounts of data efficiently, offering services like data warehousing, data lakes, data engineering, data science, and data sharing. Snowflake's system works by uniting data from different sources, enabling secure sharing and performing various types of analytics. What sets Snowflake apart from its competitors is its ability to operate seamlessly across multiple public clouds, allowing users to access their data from anywhere. The company's goal is to help businesses leverage their data for better decision-making by providing a flexible subscription-based service that scales according to their needs.