
Organizing the world's information and making it universally accessible.
Staff Product Data Scientist, Google Play App
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Partner with Engineering, Product Management, and other Play/Apps stakeholders to inform strategy, influence with insights, and provide methodological insights and metrics that reduce risk and improve user experience.
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Design and analyze A/B experiments, develop and operationalize novel measurement methodologies, including ensuring proper logging and metrics, to quantify user behavior, engagement, and long-term user value for app features.
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Conduct post-launch and longitudinal analyses to identify growth opportunities, understand long-term impact, and inform future product development.
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Research, develop, and monitor ML models to improve user engagement, including establishing evaluation criteria.
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Develop frameworks to measure product success and deliver effective, visually compelling presentations of findings and actionable recommendations to multiple levels of leadership.
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Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
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10 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL), or 8 years of experience with a Master's degree.
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关于Google

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
员工数
Mountain View
总部位置
$1,700B
企业估值
评价
10条评价
4.5
10条评价
工作生活平衡
3.2
薪酬
4.3
企业文化
4.1
职业发展
4.2
管理层
3.8
82%
推荐率
优点
Great benefits and perks
Innovative and interesting work
Career development and learning opportunities
缺点
High pressure and expectations
Long hours and heavy workload
Fast-paced and overwhelming environment
薪资范围
57,503个数据点
Junior/L3
L6
L7
L8
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
L3
L4
L5
Junior/L3 · Data Scientist L3
0份报告
$176,704
年薪总额
基本工资
-
股票
-
奖金
-
$150,298
$203,110
面试评价
9条评价
难度
3.4
/ 5
时长
14-28周
录用率
44%
体验
正面 0%
中性 56%
负面 44%
面试流程
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense