Principal Associate in Machine Learning

Transform data into actionable insights as a Principal Associate Data Scientist. Utilize machine learning to create innovative financial models while working in a collaborative hybrid environment.
This role will focus on extracting, cleaning, and analyzing data while building robust machine learning models. You will be a key player in optimizing strategies that leverage large datasets and foster proactive decision-making, all while collaborating with a motivated team passionate about advancing data science practices.

Key Responsibilities:

• Analyze and clean complex datasets for modeling

• Build and oversee deployment of machine learning models

• Develop and optimize model pipelines for rapid insights

• Conduct experiments to refine business strategies

• Explore emerging technologies and methodologies
Requirements:

• 3+ years experience in Python or R programming

• Comprehensive experience with SQL databases

• Familiarity with Git Hub for version control

• 3+ years in machine learning or predictive modeling

• Degree in a quantitative field preferred
Contribute to advancing customer financial solutions by leveraging your machine learning expertise and passion for data-driven insights.
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