Senior Data Scientist

Responsibilities
Develop and maintain Python-based web scraping and data collection pipelines.
Collect, clean, process, and organize structured and unstructured data from multiple sources.
Analyze large datasets to identify trends, patterns, risks, anomalies, and business opportunities.
Develop and evaluate data models and analytical solutions to support business decisions.
Assess model performance and accuracy while documenting methodologies, assumptions, and limitations.
Build automated data processing, analysis, and reporting workflows to improve efficiency.
Develop reusable Python tools, libraries, scripts, and processes for data science applications.
Work closely with engineering, product, operations, and business teams to define analytical requirements and deliver data-driven solutions.
Identify data quality issues and implement improvements to ensure reliable and accurate results.
Communicate analytical findings and recommendations to both technical and non-technical stakeholders.