Principal Data Scientist

Playsimple Games Private Limited

Bengaluru

On-site

INR 1,800,000 - 3,200,000

Full time

14 days+

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Job summary

Playsimple Games Private Limited is seeking a Lead Data Scientist to build data-driven products that enhance player experience and business performance across our gaming portfolio. You will partner with Product Managers, Engineers, and Analysts to solve problems using statistics, optimization, experimentation, and ML.

You will own projects end-to-end and mentor junior data scientists. You will design production ML pipelines, deploy models for personalization, retention, and monetization, and

Qualifications

  • 5–8 years of experience in Data Science or Applied ML.
  • Strong product experience in Gaming, Consumer Internet, E-commerce, Marketplace, or Decision Science platforms.
  • Experience deploying ML solutions into production.

Responsibilities

  • Build Machine Learning models supporting personalization, recommendations, LiveOps, monetization, and player engagement.
  • Design and analyze experiments using robust statistical methodologies.
  • Develop predictive models including player segmentation, churn prediction, LTV estimation, and revenue forecasting.
  • Apply optimization techniques to improve player experiences and business outcomes.
  • Translate business problems into scalable AI solutions.
  • Build production-ready ML pipelines with engineering teams.
  • Partner with Product and Engineering to evaluate business impact.
  • Stay current with advances in AI, ML, and Decision Science.

Skills

Python programming
SQL
Statistics
Bayesian methods
Optimization
Predictive modeling
Experiment design
Apache Spark
n8n workflow
Cloud ML environments

Tools

Apache Spark
n8n
Cloud ML platforms

Job description

Bangalore North, India | Posted on 07/04/2026

We are one of India’s most exciting & fast-growing mobile gaming companies. Founded in 2014, and creating a global mobile gaming landscape in partnership with Modern Times Group (MTG), our Vision is to create simple, impactful casual game experiences at a massive scale. Since our inception, we have built a worldwide network of chart-topping games, and powerful tech & analytics infrastructure to turbocharge their growth. Our product portfolio consists of evergreen hits like Daily Themed Crossword, WordTrip, WordJam, WordRoll, TileMatch, Jigsaw, Wordy, 2248 Number Merge,Word Search Solitaire and Many more.

We are looking for a Lead Data Scientist to build intelligent, data-driven products that improve player experience and business performance across our gaming portfolio.

You will work closely with Product Managers, Engineers, and Analysts to solve challenging business problems using statistics, optimization, experimentation, and Machine Learning. You will own projects from ideation through production deployment while mentoring junior data scientists and helping establish best practices across the team.

Responsibilities
  • Build Machine Learning models supporting personalization, recommendations, LiveOps, monetization, and player engagement.
  • Design and analyze experiments using robust statistical methodologies.
  • Develop predictive models including player segmentation, churn prediction, LTV estimation, and revenue forecasting.
  • Apply optimization techniques to improve player experiences and business outcomes.
  • Translate business problems into scalable AI solutions.
  • Build production‑ready ML pipelines together with engineering teams.
  • Partner with Product and Engineering to evaluate business impact.
  • Stay current with advances in AI, Machine Learning, and Decision Science.
Requirements
  • 5–8 years of experience in Data Science or Applied Machine Learning.
  • Strong product experience in Gaming, Consumer Internet, E-commerce, Marketplace, or Decision Science platforms.
  • Demonstrated experience deploying Machine Learning solutions into production.

Strong understanding of:

  • Statistics
  • Bayesian Methods
  • Optimization
  • Predictive Modeling
  • Experience working with Apache Spark.
  • Strong conceptual understanding of Agentic AI, LLM applications, and workflow automation tools such as n8n.
  • Strong Python and SQL programming skills.
  • Experience working with cloud‑based ML environments.
  • Excellent communication and collaboration skills.
  • An avid gamer with a passion for understanding player behaviour and game mechanics.
What we look for
  • Strong analytical thinking.
  • Excellent problem‑solving ability.
  • Ownership and execution focus.
  • Ability to collaborate across teams.
  • Passion for learning emerging AI technologies.
  • Comfortable working in a fast‑paced product environment.
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