채용

Senior Product Data Scientist, Marketplace Algorithms ML
Mountain View, CA, USA; San Francisco, CA, USA
·
On-site
·
Full-time
·
1mo ago
보상
$196,000 - $248,000
복지 및 혜택
•Equity
•401(k)
필수 스킬
Python
SQL
Machine Learning
Reinforcement Learning
Statistics
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
Waymo’s Product Data Science team works cross-functionally with Engineering, Product and Operations to help the company make the most informed decisions using data. Our team collaborates on high-impact projects across the company — from driving quality and operational efficiency to market analysis and rider satisfaction scores — we help to safely and efficiently scale the Waymo Driver. We are data-driven, curious, open-minded, and adapt quickly to new information.
This role follows a hybrid work schedule and you will report to a Product Data Science Lead
You will:
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Partner with Engineer, Product and Data Science teams to develop Machine Learning models to improve the efficiency of Waymo’s Marketplace
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Apply ML models to predict conversion, wait times, retention and build better understanding of vehicle values in different positions
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Apply optimization models to optimize assignment of Waymo cars to customers or positioning locations
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Build novel reinforcement learning models that continually iterate over the parameters in pricing, matching and positioning
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Define, conduct and evaluate experiments on new models
You have:
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Statistical knowledge
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Coding skills (Python and SQL)
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Experience with Machine Learning
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Experience with Reinforcement Learning
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Experience with experimentation
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At least 4 years of industry experience
We prefer:
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Experience with optimization modeling and implementation using solver packages (e.g. CP-SAT, CPLEX, Gurobi, etc…)
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Experience with optimization
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Experience at another Ride hailing or Marketplace company
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
Salary Range**$196,000—$248,000 USD**
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Waymo 소개

Waymo
Series CWaymo LLC is an American autonomous driving technology company headquartered in Mountain View, California. It is a subsidiary of Alphabet Inc., Google's parent company.
1,001-5,000
직원 수
Mountain View
본사 위치
$200B
기업 가치
리뷰
4.2
10개 리뷰
워라밸
2.8
보상
4.1
문화
4.3
커리어
3.5
경영진
3.8
78%
친구에게 추천
장점
Supportive and collaborative team environment
Innovative and cutting-edge technology projects
Competitive salary and excellent benefits
단점
Fast-paced environment can be stressful
Work-life balance challenges
High pressure and overwhelming workload
연봉 정보
310개 데이터
Mid/L4
Mid/L4 · Data Scientist
38개 리포트
$280,748
총 연봉
기본급
$183,551
주식
$74,549
보너스
$22,649
$187,768
$434,285
면접 경험
5개 면접
난이도
3.6
/ 5
소요 기간
14-28주
합격률
60%
경험
긍정 40%
보통 60%
부정 0%
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Coding Round
5
Onsite/Virtual Interviews
6
Final Round
자주 나오는 질문
Coding/Algorithm
Machine Learning
System Design
Behavioral/STAR
Technical Knowledge