Machine Learning Engineer

Great opportunity to work on a multi-year REMOTE project for a leading organization in the Houston area. Prefer Houston based candidates but will consider Austin and Dallas based candidates.

This is an on-going contract role to start with the "possibility" of getting hired direct.

Must be open to working an open-ended contract though as that is the original plan.

Summary :

The Machine Learning Engineer will streamline overall data science analysis. The Machine Learning Engineer will focus on code geared to deploying key product campaigns.

Manage, build and develop production-ready advanced analytics in the areas of predictive modeling, cluster analysis, and data labeling. Role is designed to ultimately improve business planning, decision-making, and performance with data-driven insights.

Duties :

• Manage data science projects from start to finish and understanding of the business problem to solve.
• Coordinate the ETL process, test / train work, and ultimately finalizing a working predictive model that pushes scores / results to a data warehouse, dashboard, or CRM.
• Work with Python and data science libraries such as NumPy, pandas, TextBlob, and Matplotlib.
• Work with Alteryx advanced data prep program to disseminate large data sets.
• Build machine learning models with natural language processing (NLP) and its application in extracting and categorizing information from unstructured data.

Requirements :

• 5+ years of experience with advanced analytics work In Python analytics, and Python development.
• Experience with Alteryx is a plus.
• Experience with natural language processing (NLP) and its application in extracting and categorizing information from unstructured data.
• Must have excel pivot tables experience
• Ability to collaborate with both technical and business teammates to understand needs, pain points, and desired outcomes.
• Ability to manage projects independently, meet deadlines, and adapt to changing requirements.

Education :

• Master of Science in Data Science preferred, and / or bachelor’s in data science, MIS, Technology, or related field.