Data Scientist

Architect, manage, and optimize enterprise-level cloud data storage pipelines utilizing Snowflake.
Write highly clean, maintainable, and efficient analytical automation workflows leveraging Python.
Execute advanced data analysis and deep data analytics reporting loops to unlock strategic business insights.
Manage, query, and integrate traditional relational database engines such as Oracle frameworks.
Design and implement linguistic text processing systems utilizing natural language processing algorithms.
Collaborate closely with business metrics groups to translate raw database outputs into actionable strategy targets.
Perform meticulous pipeline diagnostics, performance tuning, and schema validation runs regularly.

Degree in Engineering, Computer Science, Data Science, Statistics, or an equivalent technical stream.
8–12 years of professional data science experience, demanding a strong senior-level analytical track record.
Verifiable hands-on mastery operating inside Snowflake setups, Python scripting, and Oracle database systems.
Deep conceptual understanding of natural language parsing, data manipulation pipelines, and modern storage matrices.
Ability to immediately align with a standard 60-day notice period operational transition constraint.