Data Scientist - Remote

Overview

As the most trusted global leader in data-first contract lifecycle management (CLM) software, Agiloft helps organizations manage the end-to-end process of proposing, negotiating, signing, and leveraging contracts using our flexible Data-first Agreement Platform (DAP). With contract data as the foundation, customers quickly and collaboratively reach agreement and leverage contract visibility to thrive with competitive advantage.

In Short

• Researching, prototyping, developing, and supporting production features that utilize machine learning and generative AI technologies.
• Building, curating, and maintaining datasets for analysis and ML projects.
• Supporting the development and maintenance of the AI platform.
• Architecting robust AI/ML features and addressing scalability and performance issues.
• Engaging in project initiatives and contributing to the planning process.
• Educating internal stakeholders about machine learning projects.
• Collaborating with ML Engineers, Knowledge Experts, and Developers.
• 3-5 years of experience in a Data Scientist role required.
• Fluency in Python and the Data Science stack.
• Experience with cloud-based infrastructure and containerization technology.

Requirements

• 3-5 or more years of experience in a Data Scientist role.
• Fluency in Python and the associated Data Science stack (numpy, scipy, scikit-learn, pandas).
• Fluency in at least one relational database language.
• Ability to communicate clearly with developers and product managers.
• Experience with deep learning and generative AI models.
• Ability to architect and deploy machine learning models in production.
• Experience with cloud-based infrastructure (AWS, GCP, etc.).
• Knowledge of machine learning model optimization.
• Familiarity with model drift and monitoring.
• Familiarity with CI/CD tools and software development principles.

Benefits

• Support for healthy work/life balance.
• Floating holidays and wellness days.
• Inclusive working environment with Employee Resource Groups.
• Opportunities for professional growth and development.
• Collaborative team culture.