Daash Intelligence is looking to solve the problem of making retail markets more transparent, enabling clients to track and predict market trends more easily, thoroughly, and affordably, by democratizing access to actionable intelligence for small and mid-sized consumer brands.
Requirements
- Fluent in Python and associated data processing libraries, including Pandas, NumPy, Scikit-Learn
- Expertise in machine learning techniques (both supervised and unsupervised) with experience in real-world settings
- Experience with statistical and mathematical modeling techniques
- Experience working in large-scale, complex and dynamic data environments
- Experience with source-control and CI/CD tools, i.e. Github
- Experience with AWS
Responsibilities
- Drive R&D efforts of machine-learning based predictive models in use across the application and operation stack
- Develop GenAI-based techniques and tooling for data processing and data enrichment across the pipeline
- Lead innovation in feature engineering, fine tuning, and model specification to uncover powerful new approaches to existing solutions
- Design statistical methods for efficient estimation of model parameters and data-driven insights
- Implement innovative accuracy measurement and anomaly detection techniques that help us ensure platform reliability and data integrity
Other
- Bachelor’s degree in Computer Science, Data Science, Mathematics, or a related field. Advanced degrees preferred.
- Excellent communication skills with ability to translate complex, technical information to business stakeholders
- Unlimited PTO Policy
- Remote and flexible location options (though company operates on Eastern Standard Time)
