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트렌딩 기업

트렌딩 기업

채용

채용Google

Artificial Intelligence Safety Data Scientist, Trust and Safety

Google

Artificial Intelligence Safety Data Scientist, Trust and Safety

Google

·

On-site

·

Full-time

·

2mo ago

복지 및 혜택

Parental Leave

Equity

Remote Work

Healthcare

필수 스킬

TensorFlow

SQL

Airflow

  • Develop safety solutions for AI products across Google by leveraging advanced machine learning and AI techniques.

  • Apply statistical and data science methods to examine Google's protection measures, uncover shortcomings, and develop insights for security enhancement.

  • Drive business outcomes by crafting data stories for multiple stakeholders, including executive leadership.

  • Develop automated data pipelines and self-service dashboards to provide insights.

  • Work with sensitive content or situations which may be exposed to graphic, controversial or upsetting topics or content.

  • Bachelor's degree or equivalent practical experience.

  • 2 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.

  • 2 years of experience in managing projects and defining project scope, goals, and deliverables.

총 조회수

1

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

Google 소개

Google

Google

Public

Google specializes in internet-related services and products, including search, advertising, and software.

10,001+

직원 수

Mountain View

본사 위치

$1,700B

기업 가치

리뷰

3.7

25개 리뷰

워라밸

3.8

보상

4.2

문화

3.4

커리어

3.9

경영진

2.8

68%

친구에게 추천

장점

Excellent compensation and benefits

Smart and talented colleagues

Great perks and work flexibility

단점

Management and leadership issues

Bureaucracy and slow processes

Constantly changing priorities and reorganizations

연봉 정보

57,502개 데이터

Junior/L3

L3

L4

L5

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L3

0개 리포트

$176,704

총 연봉

기본급

-

주식

-

보너스

-

$150,298

$203,110

면접 경험

9개 면접

난이도

3.4

/ 5

소요 기간

14-28주

합격률

44%

경험

긍정 0%

보통 56%

부정 44%

면접 과정

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense