PaySense - Data Scientist - IIT/NIT/BITS

About Us:

Paysense is Nexus and Jungle funded startup focussed on improving the financial lives of the indian consumer. In an exclusive partnership with India Infoline (IIFL ~$600 mn networth), we are reinventing credit and access to it for the next billion Indian consumers.

Traditional banks and lending institutions in India are serving less than 5% of all credit requirements. Primary sources of data on consumer spend and credit behaviour either do not exist, or, are fundamentally broken. We saw this as a challenging opportunity to build out large scale credit system from scratch. One year post our initial launch we lend around 7 Crores per month and are growing exponentially.

Our team comprises of engineers, data scientists and product enthusiasts from Stanford, IIT and UCLA; and we we looking for mission driven team mates who are ambitious, work hard, are super smart and yet humble. If this sounds like you, we- d love to have a chat!

About the job :

- You will architect, code and deploy ML models (from scratch) to predict credit risk.

- You will design, run, and analyze A/B and multivariate tests to test hypotheses aimed at optimizing user experience and portfolio risk.

- You will perform data exploration and build statistical models on user behavior to discover opportunities for decreasing user defaults. And you must truly be excited about this part.

- You will use behavioral and social data to gain insights into how humans make financial choices

- You will spend a lot of time in building out predictive features from super sparse data sources.

- You will continually acquire new data sources to develop a rich dataset that characterizes risk.

- You will code, drink, breathe and live python, sklearn and pandas. It's good to have experience in these but not a necessity as long as you are super comfortable in a language of your choice.

About you :

- You have strong computer science fundamentals

- You have strong understanding of ML algorithms

- Ideally, you have 2+ years of experience in using ML in industry environment

- You know how to run tests and understand their results from a statistical perspective

- You love freedom and hate being micromanaged. You own products end to end

- You have a strong desire to learn and use the latest machine learning algorithms

- It will be awesome if you have one of the following to share - a kaggle or a github profile