Sr. Data Science Manager - Ads Marketplace
WFA Digital Insight
As demand for digital advertising specialists surges, with a 27% growth projected in the US market by 2027, Reddit's Ads Marketplace is poised for significant expansion. With its community-centric approach, Reddit offers a unique platform for advertisers. This Sr. Data Science Manager role is crucial in driving the company's advertising business forward, requiring a blend of data science expertise, strategic thinking, and leadership skills. Candidates should be aware of the evolving landscape of digital advertising and the importance of balancing user experience with advertiser needs. Before applying, consider how your data science background and experience can contribute to Reddit's ambitious goals.
Job Description
About the Role
The Sr. Data Science Manager for Reddit's Ads Marketplace is a pivotal position, sitting at the intersection of economics, machine learning, and human behavior. The role involves leading a team of high-caliber data scientists to ensure every ad served provides value to the advertiser while maintaining the integrity of the user experience and optimizing the long-term health of Reddit's ecosystem. This position is part of Reddit's effort to build a world-class, transparent, and efficient marketplace, leveraging the company's passionate communities to create a highly differentiated ads business.Reddit's Ads Marketplace is a key area of focus for the company, given that advertising is its primary revenue driver. The ambitious goal is to turn this into a massive business, capitalizing on the unique aspects of Reddit's community-centric platform. The Sr. Data Science Manager will play a critical role in achieving this goal by driving data science projects end-to-end, partnering with Product, Engineering, and Sales teams to inform product strategy and investment decisions.
The ideal candidate will have a strong foundation in data science, machine learning, and economics, as well as experience in leading teams and driving strategic decisions. The ability to analyze large datasets, identify trends and patterns, and develop data-driven optimization strategies is essential. This role offers a tremendous opportunity for scope and impact, given Reddit's high employee/user ratio and its position as one of the internet's largest sources of information.
What You Will Do
- Inspire, lead, and grow a team of data scientists to achieve the longer-term vision for Reddit's Ads Marketplace.
- Drive data science projects from conception to implementation, working closely with cross-functional teams to ensure that data insights inform product strategy and investment decisions.
- Analyze large datasets to understand marketplace dynamics, identifying trends, patterns, and insights that can help define and execute data-driven optimization strategies.
- Actively influence the design of the strategy and shaping of the roadmap for the Ads Marketplace, generating and using team insights to set and prioritize longer-term goals.
- Develop and implement A/B testing, experimentation, and other cutting-edge statistical/mathematical frameworks to analyze Ads (marketplace) performance.
- Continually develop and execute on a Data Science roadmap and vision for the team, staying abreast of industry best practices and emerging technologies in advertising and data science.
- Foster a culture of innovation, collaboration, and technical excellence within the team.
- Be an integral part of the Data Science Organization, contributing to and leveraging the knowledge base shared across the community of data experts.
- Partner with Product, Engineering, and Sales to build a transparent and efficient marketplace that meets the needs of both advertisers and users.
What We Are Looking For
- PhD or Master's degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields.
- A minimum of 8+ years of industry data science experience for those with a Master's degree, or 6+ years for those with a PhD.
- Proven experience in leading a team of data scientists, preferably in the context of digital advertising or a similar field.
- Strong expertise in machine learning, data analysis, and statistical modeling.
- Experience with data visualization tools and the ability to communicate complex data insights effectively to both technical and non-technical stakeholders.
- Excellent leadership and project management skills, with the ability to drive projects from start to finish and manage multiple priorities.
- Strong understanding of the digital advertising ecosystem and the challenges faced by advertisers and publishers.
- Experience with Excel and other data analysis tools.
Nice to Have
- Experience with programming languages such as Python, R, or SQL.
- Knowledge of cloud-based data platforms and big data technologies.
- Familiarity with A/B testing and experimentation methodologies.
- Experience in the development and implementation of data-driven products or features.
- Certification in data science or a related field.
Benefits and Perks
- Competitive salary and equity package.
- Comprehensive health, dental, and vision insurance.
- Flexible PTO policy and remote work stipend.
- Access to professional development opportunities and a budget for attending industry conferences.
- A vibrant, collaborative work environment with a team of talented professionals.
- The opportunity to work on a high-impact project that can significantly influence the direction of Reddit's advertising business.
How to Stand Out
- Highlight Your Leadership Experience: Emphasize your ability to lead and grow a team of data scientists, and provide specific examples of how you've driven strategic decisions in previous roles.
- Showcase Your Data Science Skills: Ensure your resume and cover letter highlight your expertise in machine learning, data analysis, and statistical modeling, and be prepared to discuss your experience with data visualization tools.
- Understand Reddit's Unique Ecosystem: Familiarize yourself with Reddit's community-centric platform and its implications for advertisers, and be prepared to discuss how you can leverage data science to enhance this ecosystem.
- Prepare to Discuss Your Vision for the Team: Be ready to outline your plan for developing and executing a Data Science roadmap and vision for the team, including how you stay current with industry best practices and emerging technologies.
- Demonstrate Your Ability to Communicate Complex Ideas: Show examples of how you've effectively communicated data insights to both technical and non-technical stakeholders, and be prepared to discuss your approach to data storytelling.
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