Description

You will analyze large datasets to identify patterns and drivers of business outcomes, building predictive models that quantify uncertainty and evaluate performance. You will own the end-to-end data workflow, from extraction and preparation using SQL to visualization and communication of findings for technical and non-technical stakeholders.

This role is on-site.

Responsibilities

• Analyze large datasets to identify patterns, trends, and drivers of business outcomes.
• Develop and validate predictive models using machine learning algorithms.
• Use SQL to extract, transform, and prepare data for modeling and analysis.
• Apply statistical methods to quantify uncertainty and evaluate model performance.
• Create clear data visualizations and communicate findings to technical and non-technical audiences.

Required Skills

• 5+ years of relevant experience in data analysis, predictive modeling, and machine learning.
• Proficiency in Python and/or R for data analysis and modeling.
• Strong SQL skills for data extraction and preparation.
• Deep understanding of statistics for experimental design, inference, and model evaluation.
• Experience with data visualization tools and machine learning algorithms.
• Ability to communicate complex technical findings clearly.

Preferred Skills

• Experience with Big Data technologies and ecosystems.
• Practical experience with Deep Learning models and frameworks.

Key Skills

Education

Any Graduate