Description

You will design and implement data models and analytical solutions to optimize statistical efficiency and data quality.

This role is on-site.

Responsibilities

• Develop strategies for effective data analysis, reporting, and data collection systems.
• Analyze spend data sets and transform data to implement machine learning models for taxonomy classification.
• Identify, analyze, and interpret trends or patterns within complex data sets.
• Monitor performance and quality control plans to ensure data stability and reliability.
• Solve problems of moderate complexity by adapting standardized practices to specific data needs.

Required Skills

• 5+ years of experience in data-driven roles.
• Proficiency with Python.
• Experience using TensorFlow for machine learning model development.
• Strong background in Data Modeling.
• Expertise in Data Analytics.
• Ability to analyze and improve the efficiency and reliability of classification data sets.
• Bachelor’s Degree in Computer Science, Information Technology, or a closely related field.

Key Skills

Education

Any Graduate