here’s what will be in store for you at CRED once you join as a part of the team:
- own end-to-end business problems and metrics, build and implement ML solutions using cutting-edge technology
- create scalable solutions to business problems using statistical techniques, machine learning, and NLP
- design, experiment and evaluate highly innovative models for predictive learning
- work closely with software engineering teams to drive real-time model experiments, implementations, and new feature creations
- establish scalable, efficient, and automated processes for large-scale data analysis, model development, deployment, experimentation, and evaluation
- research and implement novel machine learning and statistical approaches
- publish and/or talk about your work at external conferences
- 5+ years of experience in data science
- in-depth understanding of modern machine learning techniques and their mathematical underpinnings
- demonstrated ability to build PoCs for complex, ambiguous problems and scale them up
- strong programming skills (Python, Java, or Scala preferred)
- high proficiency in at least one of the following broad areas: machine learning, statistical modeling/inference, information retrieval, data mining, NLP