Lead Data Scientist Job in Playsimple
Lead Data Scientist
Playsimple
7 days ago
- Bengaluru, Bangalore Urban, Karnataka
- Not Disclosed
- Full-time
Job Summary
Job Title: Lead Data Scientist
Location: Bangalore North, Karnataka, India
Job Type: Full-Time
Industry: Entertainment / Mobile Gaming
About Us
We are one of India s most exciting and fast-growing mobile gaming companies. Founded in 2014 and partnered with Modern Times Group (MTG), our vision is to create simple, impactful casual game experiences at massive scale. Our portfolio includes evergreen hits such as Daily Themed Crossword, WordTrip, WordJam, WordWars, WordTrek, TileMatch, and Jigsaw. We have built a global network of chart-topping games supported by powerful tech and analytics infrastructure that fuels rapid growth.
Position Summary
As a Lead Data Scientist in our Central Analytics team, you will play a critical role in shaping data-driven strategies that enhance player experience and business performance. This fast-paced role offers abundant opportunities to work alongside product leaders and game teams, transforming complex data into actionable insights that drive user acquisition, engagement, and monetization.
Key Responsibilities
Requirements
Why Join Us?
Qualification : Bachelors/Masters/PhD degree in Computer Science, Statistics, or a related field.
Location: Bangalore North, Karnataka, India
Job Type: Full-Time
Industry: Entertainment / Mobile Gaming
About Us
We are one of India s most exciting and fast-growing mobile gaming companies. Founded in 2014 and partnered with Modern Times Group (MTG), our vision is to create simple, impactful casual game experiences at massive scale. Our portfolio includes evergreen hits such as Daily Themed Crossword, WordTrip, WordJam, WordWars, WordTrek, TileMatch, and Jigsaw. We have built a global network of chart-topping games supported by powerful tech and analytics infrastructure that fuels rapid growth.
Position Summary
As a Lead Data Scientist in our Central Analytics team, you will play a critical role in shaping data-driven strategies that enhance player experience and business performance. This fast-paced role offers abundant opportunities to work alongside product leaders and game teams, transforming complex data into actionable insights that drive user acquisition, engagement, and monetization.
Key Responsibilities
- Collaborate closely with product leaders to provide data-driven advisory on strategic decisions.
- Partner with game development teams to analyze gameplay data and generate actionable insights that improve user acquisition, engagement, and monetization.
- Perform advanced exploratory data analyses and ad-hoc reporting to identify trends, issues, and opportunities across our game portfolio.
- Design, execute, and lead data research projects, delivering practical recommendations based on rigorous statistical analyses.
- Drive continuous improvement in game performance through innovative machine learning models and analytics techniques.
Requirements
- Bachelor s/Master s/PhD degree in Computer Science, Statistics, or a related field.
- Proven experience with machine learning, statistical modeling, and data science projects.
- Hands-on proficiency in Python and/or Spark for data manipulation, visualization, and building ML models.
- Strong SQL skills with experience querying large, complex datasets from data lakes or warehouses.
- Demonstrated ability to lead research projects and translate findings into actionable business recommendations.
- Excellent interpersonal skills and a collaborative approach to working with cross-functional teams.
- Knowledge of Deep Learning frameworks and techniques is highly desirable.
Why Join Us?
- Work with a top-tier gaming company known for its innovative and data-driven culture.
- Influence millions of users worldwide through impactful analytics.
- Collaborate with talented teams in a high-growth, dynamic environment.
- Access to cutting-edge tools and technologies for data science and machine learning.
- Competitive compensation and career growth opportunities.
Qualification : Bachelors/Masters/PhD degree in Computer Science, Statistics, or a related field.

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