
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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Googleについて

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
従業員数
Mountain View
本社所在地
$1,700B
企業価値
レビュー
10件のレビュー
4.5
10件のレビュー
ワークライフバランス
3.2
報酬
4.3
企業文化
4.1
キャリア
4.2
経営陣
3.8
82%
知人への推奨率
良い点
Great benefits and perks
Innovative and interesting work
Career development and learning opportunities
改善点
High pressure and expectations
Long hours and heavy workload
Fast-paced and overwhelming environment
給与レンジ
57,503件のデータ
Junior/L3
L6
L7
L8
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
L3
L4
L5
Junior/L3 · Data Scientist L3
0件のレポート
$176,704
年収総額
基本給
-
ストック
-
ボーナス
-
$150,298
$203,110
面接レビュー
レビュー9件
難易度
3.4
/ 5
期間
14-28週間
内定率
44%
体験
ポジティブ 0%
普通 56%
ネガティブ 44%
面接プロセス
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
よくある質問
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
最新情報
Our eighth generation TPUs: two chips for the agentic era - blog.google
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1w ago
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9to5Google
News
·
1w ago
Google to invest up to $40 billion in AI rival Anthropic - Reuters
Reuters
News
·
1w ago
Google to invest up to $40B in Anthropic in cash and compute - TechCrunch
TechCrunch
News
·
1w ago