招聘
福利待遇
•Healthcare
•Equity
•Parental Leave
•Mental Health
•Learning
•Flexible Hours
必备技能
Machine Learning
Statistical modeling
Python
R
SQL
Causal inference
Experimental design
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 116 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.
Reddit has a flexible first workforce. At Reddit we continue to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.
About the Ads Data Science Team:
The Ads Data Science team at Reddit leverages data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting-edge DS methods.
We work on a wide range of challenging problems in the areas of ads and platform measurement, campaign and creative management, advertiser growth and retention, monetization, and the intersection of brand and community engagement. We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what's possible with machine learning and statistical modeling.
About the Role:
We are looking for a highly motivated and experienced Senior Data Scientist to join our growing Ads Data Science team. As a Senior Data Scientist, you will play a key role in developing as well as applying cutting-edge DS models/methods to improve the adoption and performance of our advertising platform through data-driven insights. You will work closely with product managers, engineers, and other data scientists to identify opportunities, define metrics, and build solutions that drive significant impact for Reddit.
Responsibilities:
-
Design, develop, and apply DS solutions to inform improvements in advertiser experience and Reddit's ad platform
-
Analyze large-scale datasets to identify trends, patterns, and insights that can be used to improve the effectiveness of our advertising platform
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Collaborate with product managers and engineers to define product requirements and translate them into data science solutions
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Develop ML models & DS methods to improve anomaly detection, prediction, & pattern recognition
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Communicate findings and recommendations to stakeholders across the organization
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Stay up-to-date on the latest advancements in machine learning and data science
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Mentor and guide junior data scientists on the team
Qualifications:
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Advanced degree (Masters or Ph.D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations Research
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For M.S. holders: 5+ years of industry experience in applied science or data science roles
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For Ph.D. holders: 4+ years of industry experience in applied science or data science roles
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Platform experience and a deep understanding of the ads ecosystem
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Strong understanding of statistical modeling, machine learning algorithms, causal inference and experimental design
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Experience with large-scale data processing and analysis using tools such as Spark, Hadoop, or Hive; knowledge of Big Query a plus
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Proficiency in Python or R and experience with machine learning libraries such as scikit-learn, Tensor Flow, or Py Torch
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Experience with SQL and relational databases
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Excellent communication and presentation skills
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Passion for Reddit and the online advertising industry
Bonus Points:
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Experience with online advertising and ad tech
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Experience with causal inference and A/B testing
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Contributions to open-source projects or publications in relevant conferences or journals
Benefits:
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Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
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Family Planning Support
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Gender-Affirming Care
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Mental Health & Coaching Benefits
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Comprehensive Medical Benefits & Health Care Spending Account
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Registered Retirement Savings Plan with matching contributions
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Income Replacement Programs
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Flexible Vacation & Paid Volunteer Time Off
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Generous Paid Parental Leave
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
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关于Reddit

Reddit is an American proprietary social news aggregation and forum social media platform. Registered users submit content to the site such as links, text posts, images, and videos, which are then voted up or down by other members.
1,001-5,000
员工数
San Francisco
总部位置
$10B
企业估值
评价
3.9
10条评价
工作生活平衡
3.2
薪酬
4.0
企业文化
3.8
职业发展
3.0
管理层
2.8
72%
推荐给朋友
优点
Flexible working hours
Great team culture and supportive colleagues
Good learning opportunities and interesting projects
缺点
High workload and tight deadlines
Can be stressful and overwhelming
Limited growth potential and lacks direction
薪资范围
23个数据点
Junior/L3
Mid/L4
Senior/L5
Staff/L6
Director
Junior/L3 · Data Scientist
3份报告
$253,500
年薪总额
基本工资
$195,000
股票
-
奖金
-
$247,000
$260,000
面试经验
8次面试
难度
2.3
/ 5
时长
14-28周
录用率
50%
体验
正面 13%
中性 0%
负面 87%
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
常见问题
Technical Knowledge
Behavioral/STAR
Past Experience
Culture Fit
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