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Data Scientist (Product company, Mumbai)
Matchmaking platform
Data Scientist (Product company, Mumbai)

Data Scientist (Product company, Mumbai) at Matchmaking platform · Mumbai · 2 - 5 years · ₹21L - ₹28L / yr · Posted 22 Jan 2026

Peak Hire Solutions's logo

Data Scientist (Product company, Mumbai)

at Matchmaking platform

Agency job
2 - 5 yrs
₹21L - ₹28L / yr
Mumbai
Skills
skill iconData Science
skill iconPython
Natural Language Processing (NLP)
MySQL
skill iconMachine Learning (ML)
Artificial Intelligence (AI)
Algorithms
Logistic regression
Decision trees
Gradient boosting
RESTful APIs
CI/CD
skill iconDocker
skill iconAmazon Web Services (AWS)
Google Cloud Platform (GCP)
SQL
Amazon Redshift
Looker
Storytelling
Tableau

Review Criteria

  • Strong Data Scientist/Machine Learnings/ AI Engineer Profile
  • 2+ years of hands-on experience as a Data Scientist or Machine Learning Engineer building ML models
  • Strong expertise in Python with the ability to implement classical ML algorithms including linear regression, logistic regression, decision trees, gradient boosting, etc.
  • Hands-on experience in minimum 2+ usecaseds out of recommendation systems, image data, fraud/risk detection, price modelling, propensity models
  • Strong exposure to NLP, including text generation or text classification (Text G), embeddings, similarity models, user profiling, and feature extraction from unstructured text
  • Experience productionizing ML models through APIs/CI/CD/Docker and working on AWS or GCP environments
  • Preferred (Company) – Must be from product companies

 

Job Specific Criteria

  • CV Attachment is mandatory
  • What's your current company?
  • Which use cases you have hands on experience?
  • Are you ok for Mumbai location (if candidate is from outside Mumbai)?
  • Reason for change (if candidate has been in current company for less than 1 year)?
  • Reason for hike (if greater than 25%)?

 

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:
  • 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


Ideal Candidate

  • 2–5 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.


Read more
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Shubham Vishwakarma

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I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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