HAPPY's - Data Scientist

HAPPY is a fast-growing fully Digital Lending Fintech targeting a multi-billion-dollar credit gap in India's micro-businesses, delivering flexible & easy short-term access to credit for small business owners & proprietors in urban & city settings.

HAPPY has been recognized as one of the 2019 Inclusive Fintech 50 in the world by Visa and IFC and has won two national awards by Times Now & ET Now - Best AI Startup of the year & the most innovative startup of the year respectively.

We at Happy solve one of the world's challenging problems: access to finance. Happy is the fastest growing digital lending Fintech, delivering access to easy & flexible credit to millions of MSME in India.

We work on-facilitation of credit facility to underserved by using:

- Machine Learning

- Deep Tech

- Digital Customer Engagement

- Smart Risk Monitoring & Collections

- We are pioneer in providing digital credit to nano & micro businesses in India.

- We are led by successful serial entrepreneurs & management with rich experience in the digital payment & finance industry

- We aim to open credit facility to a virgin market of 600 million people in India and diversify into various digital banking solution like savings, payments & many more.

Job Title: Data Scientist

Location: Mumbai/Gurgaon

We are looking for a Data Scientist who will support our product, sales, leadership and marketing teams with insights gained from analyzing data.

Given we are working in a domain that did not exist two years back, we need someone who can apply the conventional wisdom of traditional data science problems in a new context. As a small and fast-moving company, we have everything to offer that you may be looking for as Data Scientist. Large and messy dataset. Opportunity to apply machine learning algorithms to new kind of problems. Being able to talk to the top management and directly influence the business outcomes of your efforts. Mentorship from some of the top data scientists in the country.

If you are excited, talk to us.

Key Skills

- Experience in data wrangling (SQL, Pandas, DataFrames) and familiarity with various databases

- Experience in at least one statistical programming language (R or Python)

- Experience in applying statistical techniques (descriptive and inferential statistics, statistical tests)

- Experience in creating both supervised and unsupervised learning models (linear and logistic regression, decision tree and random forest, clustering and segmentation)

- Visualisation using any of the R or Python libraries to explore datasets

- 2-4 years of experience in data science/analytics, machine learning and data engineering

What you need to succeed in this role

- Good communication skill: you'll be working across teams to deliver results, and understanding their requirements and communicating your requirements well will be essential

- Initiative and Creativity: With great power (flexibility, growth) comes great responsibility (initiative). We are in the middle of reinventing an industry, and we are interested in seeing how you can combine data science and your business acumen to make an impact on the business