Job Description

We are looking for an experienced Data scientist to join our engineering team and help us enhance our application with data. In this role, we're looking for people who are passionate about developing ML/AI in various domains that solve enterprise problems. We are keen on hiring someone who loves working in fast-paced environment and looking to solve some challenging engineering problems. As one of the earliest members in engineering, you will have the flexibility to design the models and architecture from the ground up. we expect you to be comfortable wearing various hats and be proactive contributors in building something truly remarkable.

Responsibilities:

• Researches, develops and maintains machine learning and statistical models for business requirements
• Work across the spectrum of statistical modeling including supervised, unsupervised, & deep learning techniques to apply the right level of solution to the right problem
• Coordinate with different functional teams to monitor outcomes and refine/ improve the machine learning models Implements models to uncover patterns and predictions create business value and innovation
• Identify unexplored data opportunities for the business to unlock and maximize the potential of digital data within the organization
• Develop NLP concepts and algorithms to classify and summarize structured/unstructured text data

Requirements:

• 3+ years of experience solving complex business problems using machine learning.
• Fluency in programming languages such as Python, NLP, and Bert, is a must
• Strong analytical and critical thinking skills
• Experience in building production-quality models using state-of-the-art technologies
• Familiarity with databases. desirable Ability to collaborate on projects and work independently when required.
• Previous experience in Fintech/payments domain is a bonus
• You should have Bachelor's or Master's degree in Computer Science, Statistics or Mathematics, or another quantitative field from a top tier Institute