Paper.id:
Paper.id is the pioneer of the complete, automated and user-focused B2B Payment Solution that helps companies to get paid faster or pay later.
We aim to accelerate cash flow and ease the heavy burden of business operations.Paper.id helps businesses to operate and track their daily operations by leveraging our core competencies in invoicing, digital payments and financing.
What will you do:
- Plan, develop and deploy machine learning models and advanced analytics solutions to solve a wide array of business problems
- Define problems and hypotheses, develop recommendations and decision support tools to increase business value.
- Continuously improve the predictive value of our models, monitor model performance in production systems closely.
- Influence product development, strategy and roadmap prioritization
- Develop a culture of highly reproduceable work, attention to detail, quality of work and getting solutions to production quickly.
What are we looking:
- Having at least 5+ years of experience of applied Quantitative Analysis, Statistical Analysis or Modelling or AI
- Fluency in Python and the Python Data Science toolkit
- Good understanding of CS fundamentals e.g. algorithms and data structures
- Excellent analytical thinking and problem solving
- You must be results-oriented and willing to work in a fast and dynamic environment
- Have good communication skill is a plus
Willing to work Hybrid at least once a week.