Senior Data Scientist

Role Overview

• Develop and maintain predictive models to support business decision-making
• Design and implement feature engineering pipelines using diverse data sources
• Perform exploratory data analysis to uncover patterns, trends, and key drivers
• Build segmentation and cohort analyses to better understand customer behavior
• Evaluate model performance using appropriate metrics and continuously refine approaches
• Translate analytical results into clear, actionable insights for business stakeholders
• Create data visualizations and dashboards to communicate findings effectively
• Collaborate with engineering teams to deploy and scale models in production environments
• Ensure data quality, consistency, and reproducibility across workflows

Requirements

• 5+ years of experience in Data Science, Machine Learning, or Advanced Analytics
• Strong proficiency in Python (pandas, numpy, scikit-learn)
• Experience with feature engineering, model development, and evaluation
• Familiarity with large-scale data processing (e.g., Spark, Databricks)
• Experience with SQL and data warehousing platforms
• Strong understanding of statistical modeling and machine learning techniques
• Experience building data visualizations (e.g., Power BI, matplotlib, seaborn)
• Familiarity with cloud environments (Azure)
• Exposure to end-to-end ML pipelines and MLOps practices
• Experience working with business stakeholders in data-driven environments

Tech Stack

• Azure
• Cloud
• Numpy
• Pandas
• Python
• Scikit-Learn
• Spark
• SQL