Data Scientist
PlaySimple Games · Bengaluru, Karnataka, India
Entertainment Providers · 201-500 employees
About the role
The Data Scientist will act as a data-driven advisor to product leaders and collaborate with game teams to provide actionable insights. They will perform exploratory data analysis and research to identify trends and improve user acquisition, engagement, and monetization.
What they look for
Requirements
Candidates must hold a B.Tech, M.Tech, or PhD in Computer Science or Statistics with practical experience in machine learning and statistical analysis. Proficiency in Python, Spark, and SQL for querying large datasets is required, with knowledge of Deep Learning considered a strong advantage.
Full description
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
