Time since we first saw it
Day 124
Up longer than most. Similar jobs usually come down between day 7 and day 56.
From 10,434 similar postings that came down. Coming down is not always a hire.
Lead Data Scientist
Bangalore North, Karnataka, India
Open 4 months, first seen by us 124 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingBuild ML models for personalization, recommendations, LiveOps, and monetization
Design and analyze experiments using robust statistical methods
Develop churn, LTV, segmentation, and revenue forecasting models
Build production-ready ML pipelines with engineering teams
Mentor junior data scientists
From the employer’s posting
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.
Build production-ready ML pipelines together with engineering teams.
Mentor junior Data Scientists.
What you’ll bring
All qualificationsCore experience
- 5–8 years in Data Science or Applied Machine Learning
- Demonstrated experience deploying ML solutions into production
- Strong product experience in gaming, consumer internet, e-commerce, or marketplaces
- Strong grounding in statistics, Bayesian methods, experimentation, and optimization
- Strong Python and SQL skills, plus experience with Apache Spark
Qualification wording
5–8 years of experience in Data Science or Applied Machine Learning
Demonstrated experience deploying Machine Learning solutions into production.
Strong product experience in Gaming, Consumer Internet, E-commerce,Marketplace, or Decision Science platforms.
Strong understanding of: o Statistics o Machine Learning o Bayesian Methods o Experimental Design o Optimization o Predictive Modeling
Strong Python and SQL programming skills.
Posting record
Report an errorOpen 4 monthsWe first saw this posting 124 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jul 5, 2026124 days ago
- Recorded sightings
- 82
- Last seen by us
- Nov 6, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
PlaySimple Games is hiring
4 open jobs
- No new data jobs since August
- Its jobs tend to stay up a long time
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Spark
Where the posting names them
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. Mentor junior Data Scientists. Stay current with advances in AI, Machine Learning, and Decision Science. Requirements 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: o Statistics o Machine Learning o Bayesian Methods o Experimental Design o Optimization o 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. Product mindset. 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.
Your next step
Complete your application on playsimple.zohorecruit.in. The employer’s form will show what is required.
Already applied? Track this application
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
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. Mentor junior Data Scientists. Stay current with advances in AI, Machine Learning, and Decision Science. Requirements 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: o Statistics o Machine Learning o Bayesian Methods o Experimental Design o Optimization o 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. Product mindset. 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.
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Bangalore North, Karnataka, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.