Data Scientist - Machine Learning

About Shaadi.com :

Shaadi.com, the world's No.1 Matchmaking platform, pioneered online personals at the turn of the century and has continued to lead the exciting space for 20 years.

It has been built on one simple idea : to help people find a life partner, discover love and share joy. Our vision is to build the worlds first 'togetherness' company!

Shaadi.com has helped over 7 million people in finding a life partner and touched the lives of over 50 million people globally.

Amongst many awards, Shaadi.com has been recognized as the Most Trusted Matchmaking site and the worlds 50 Most Innovative Companies, alongside Apple, Google, Facebook, and Amazon. We have also been acknowledged as one of the worlds most engaging brands on Facebook.

At Shaadi.com, we believe that it is our people who matter the most and so we put that thought into our name. Our parent company is called People Interactive Pvt. Ltd and we are headquartered in Mumbai. We also have a sister brand called Sangam.com.

We believe that technology can help change peoples lives for the better and so we keep pushing the boundaries. We are solving global-scale problems using social network type technologies. We pride ourselves on being innovative and like to think that our world revolves around our users.

We were founded based on the principle that a world-class consumer Internet company can be built from India and that mission still drives us.

We are a high energy workplace that loves to have fun while operating on a real-time cadence. Come pay us a visit someday.

Company Size : Large-scale / Global

Working Days : 5 days/week

Role & Responsibilities :

- Partner with Product to spot high-leverage ML opportunities tied to business metrics.

- Wrangle large structured and unstructured datasets; build reliable features and data contracts.

- Build and ship models to :

i. Enhance customer experiences and personalization

ii. Boost revenue via pricing/discount optimization

iii. Power user-to-user discovery and ranking (matchmaking at scale)

iv. Detect and block fraud/risk in real time

v. Score conversion/churn/acceptance propensity for targeted actions

- Collaborate with Engineering to productionize via APIs/CI/CD/Docker on AWS.

- Design and run A/B tests with guardrails.

- Build monitoring for model/data drift and business KPIs