Data Scientist II

At , we're not just building a product — we're building meaningful

connections . With millions of users across the globe, we thrive on solving

real-life matchmaking challenges using the power of data. If you love turning data into

insights and building models that create impact at scale, this is your chance to be part

of something special.

What You'll Do

● 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:

○ Enhance customer experiences and personalization

○ Boost revenue via pricing/discount optimization

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

○ Detect and block fraud/risk in real time

○ 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

What We're Looking For

● 2–4 years of DS/ML experience in consumer internet / B2C products, with 7–8

models shipped to production end-to-end.

● Proven, hands-on success in at least two (preferably 3–4) of the following:

○ Recommender systems (retrieval + ranking, NDCG/Recall, online lift;

bandits a plus)

○ Fraud/risk detection (severe class imbalance, PR-AUC)

○ Pricing models (elasticity, demand curves, margin vs. win-rate trade-offs,

guardrails/simulation)

○ Propensity models (payment/churn)

● Programming: strong Python and SQL; solid git, Docker, CI/CD.

● Cloud and data: experience with AWS or GCP; familiarity with

warehouses/dashboards (Redshift/BigQuery, Looker/Tableau).

● ML breadth: recommender systems, NLP or user profiling, anomaly detection.

● Communication: clear storytelling with data; can align stakeholders and drive

decisions.

Location: Mumbai (Preffered)

email me your Current & Expected CTC, Notice Period, Total Exp, Location

Job Type: Full-time

Pay: ₹2,089, ₹2,857,284.43 per year

Benefits:

• Flexible schedule
• Health insurance
• Paid sick time

Work Location: In person