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Day 90
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Bangalore North, Karnataka, India
Open 3 months, first seen by us 90 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Advise product leaders on strategic issues using data
Deliver insights to game teams to lift acquisition, engagement and monetization
Proactively analyze games to find trends, issues and opportunities
Answer business questions with exploratory analysis and ad-hoc reporting
You will work closely with product leaders as a data-driven advisor and partner on strategic issues.
Will work collaboratively with game teams to deliver actionable insights into our games to further increase user acquisition, engagement and monetization.
Will proactively perform a wide range of analyses to identify trends, issues, and opportunities across games
Will answer business-related questions through exploratory data analyses and ad-hoc reporting.
B.Tech/M.Tech/PhD in Computer Science/Statistics with demonstrated experience in ML/Statistics
Hands on experience in Python/Spark for data crunching, data visualization and machine learning.
SQL skills: Experience querying large, complex datasets from a data lake/warehouse.
Ability to execute research projects, and generate practical results and recommendations.
Knowledge of Deep Learning is highly desirable
Position Summary We’re looking for Data Scientists to join our Data Science team. It’s a fast-paced, high-adrenaline job, with plenty to learn. If you enjoy crunching numbers, are never satisfied with the products around you, and have always wanted to make things better than the best, you’ll love this job. What’s required of you ● You will work closely with product leaders as a data-driven advisor and partner on strategic issues. ● Will work collaboratively with game teams to deliver actionable insights into our games to further increase user acquisition, engagement and monetization. ● Will proactively perform a wide range of analyses to identify trends, issues, and opportunities across games help us continue to improve gameplay. ● Will answer business-related questions through exploratory data analyses and ad-hoc reporting. Requirements Qualifications and Skills Required ● B.Tech/M.Tech/PhD in Computer Science/Statistics with demonstrated experience in ML/Statistics ● Hands on experience in Python/Spark for data crunching, data visualization and machine learning. ● SQL skills: Experience querying large, complex datasets from a data lake/warehouse. ● Ability to execute research projects, and generate practical results and recommendations. ● The candidate should enjoy both working with people and undertaking rigorous statistical analyses. ● Knowledge of Deep Learning is highly desirable
Open 3 monthsWe first saw this posting 90 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
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Day 90
Up longer than most. Similar jobs usually come down between day 7 and day 56.
From 10,319 similar postings that came down. Coming down is not always a hire.
4 open jobs
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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.
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.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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Bangalore North, Karnataka, India
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