ApplySenior Data Science Manager, Ads Platform & Experience
Posted 3 months agoViewed
View full description
💎 Seniority level: Manager, 6+ years for PhD, 8+ years for Master's
📍 Location: SF, LA, CHI, NY
💸 Salary: 232500 - 325500 USD per year
🔍 Industry: Online advertising
🏢 Company: Reddit👥 1001-5000💰 $410,000,000 Series F over 3 years ago🫂 Last layoff almost 2 years agoNewsContentSocial NetworkSocial Media
⏳ Experience: 6+ years for PhD, 8+ years for Master's
🪄 Skills: PythonSQLMachine LearningStrategyData scienceCollaboration
Requirements:
- PhD or Master's degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields
- If M.S. degree, a minimum of 8+ years of industry data science experience required; If PhD degree, a minimum of 6+ years of industry data science experience required
- 4+ years of management experience; experience managing managers is a bonus
- Strong programming skills in Python or R and SQL
- Experience in building data foundations and enabling self-serve analytics
- Deep understanding of online experimentation and causal inference
- Ability to communicate technical topics and high-level strategies
- Comfortable in innovative and fast-paced environments with a bias toward action
- Results-oriented with strong customer and business focus
- Track-record of driving product roadmap and execution with strong cross-org collaborations
- Ability to tackle ambiguous and undefined problems
Responsibilities:
- Inspire, lead, and grow a team of data scientists to achieve long-term vision
- Drive analytics/data science projects end-to-end in partnership with product teams
- Analyze large datasets to identify trends and insights for advertiser adoption and user experience
- Influence strategy and shape roadmap using team insights
- Create A/B testing and statistical frameworks to analyze product performance
- Develop and execute a data science roadmap for the team
- Stay updated with industry best practices and emerging technologies
- Foster a culture of innovation, collaboration, and technical excellence
- Contribute and leverage knowledge within the Data Science Org
Apply