Description

Develop and deploy production-ready machine learning models to solve complex data problems.

Responsibilities

• Build machine learning models covering regression, supervised and unsupervised learning, probabilistic inference, and natural language modeling.
• Implement data modeling techniques including normalization, attribute analysis, and data quality assessment.
• Manage data access and performance using various data technologies and coverage assessments.
• Create visualizations to communicate insights and data trends.

Required Skills

• 5+ years of experience in data science roles.
• Proficiency in Python and object-oriented programming.
• Experience with SQL and data-access technologies such as Spark, Databricks, BigQuery, or MongoDB.
• Hands-on experience with machine learning frameworks and modeling techniques.
• Competency in data modeling, normalization, and performance management.
• Experience with visualization tools such as Tableau or PowerBI.
• Ability to perform data quality and coverage assessments.

Preferred Skills

• Bachelor's degree or equivalent graduate level education.

Key Skills

Education

ANY GRADUATE