Description

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

Develop 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.

Responsibilities

• Build and deploy machine learning models for regression, classification, and NLP.
• Implement data modeling techniques including normalization and attribute analysis.
• Manage data access and performance using Spark, Databricks, BigQuery, or MongoDB.
• Perform data quality 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 (Spark, Databricks, BigQuery, 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.

Preferred Skills

• Bachelor's degree or equivalent graduate level education.

Key Skills

Education

ANY GRADUATE