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Staff Data Scientist, Ads Experimentation
Posted 1 day agoViewed
💎 Seniority level: Staff, M.S.: 10+ years; Ph.D.: 6+ years
💸 Salary: 217000.0 - 303900.0 USD per year
🔍 Industry: Software Development
🗣️ Languages: English
⏳ Experience: M.S.: 10+ years; Ph.D.: 6+ years
Requirements:
- M.S.: 10+ years of industry data science experience, emphasizing experimentation and causal inference.
- Ph.D.: 6+ years of industry data science experience, emphasizing experimentation and causal inference
- Master's or Ph.D. in Statistics, Economics, Computer Science, or a related quantitative field
- Expertise in experimental design, A/B testing, and causal inference
- Proficiency in statistical programming (Python/R) and SQL
- Demonstrated ability to apply statistical principles of experimentation (hypothesis testing, p-values, etc.)
- Experience with large-scale data analysis and manipulation
- Strong technical communication skills for both technical and non-technical audiences
- Ability to thrive in fast-paced, ambiguous environments and drive action
- Desire to mentor and elevate data science practices
- Experience with digital advertising and marketplace dynamics (preferred)
- Experience with advertising technology (preferred)
Responsibilities:
- Lead the design, implementation, and analysis of sophisticated A/B tests and experiments, leveraging innovative techniques like Bayesian approaches and causal inference to optimize complex ad strategies
- Extract critical insights through in-depth analysis, developing automated tools and actionable recommendations to drive impactful decisions Define and refine key metrics to empower product teams with a deeper understanding of feature performance
- Partner with product and engineering to shape experiment roadmaps and drive data-informed product development
- Provide technical leadership, mentor junior data scientists, and establish best practices for experimentation
- Drive impactful results by collaborating effectively with product, engineering, sales, and marketing teams
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🔥 Staff Data Scientist, Ads Experimentation
Posted 6 days ago
📍 United States
🧭 Full-Time
💸 217000.0 - 303900.0 USD per year
🔍 Digital Advertising
🏢 Company: Reddit👥 1001-5000💰 $410,000,000 Series F over 3 years ago🫂 Last layoff almost 2 years agoNewsContentSocial NetworkSocial Media
- M.S.: 10+ years of industry data science experience, emphasizing experimentation and causal inference.
- Ph.D.: 6+ years of industry data science experience, emphasizing experimentation and causal inference
- Master's or Ph.D. in Statistics, Economics, Computer Science, or a related quantitative field
- Expertise in experimental design, A/B testing, and causal inference
- Proficiency in statistical programming (Python/R) and SQL
- Demonstrated ability to apply statistical principles of experimentation (hypothesis testing, p-values, etc.)
- Experience with large-scale data analysis and manipulation
- Strong technical communication skills for both technical and non-technical audiences
- Ability to thrive in fast-paced, ambiguous environments and drive action
- Desire to mentor and elevate data science practices
- Experience with digital advertising and marketplace dynamics (preferred)
- Experience with advertising technology (preferred)
- Lead the design, implementation, and analysis of sophisticated A/B tests and experiments, leveraging innovative techniques like Bayesian approaches and causal inference to optimize complex ad strategies
- Extract critical insights through in-depth analysis, developing automated tools and actionable recommendations to drive impactful decisions Define and refine key metrics to empower product teams with a deeper understanding of feature performance
- Partner with product and engineering to shape experiment roadmaps and drive data-informed product development
- Provide technical leadership, mentor junior data scientists, and establish best practices for experimentation
- Drive impactful results by collaborating effectively with product, engineering, sales, and marketing teams
AWSPythonSQLApache AirflowData AnalysisHadoopMachine LearningNumpyCross-functional Team LeadershipProduct DevelopmentAlgorithmsData engineeringData scienceRegression testingPandasSparkCommunication SkillsAnalytical SkillsMentoringData visualizationData modelingA/B testing
Posted 6 days ago
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