Staff Data Scientist, Marketing
WFA Digital Insight
The demand for data scientists in marketing has grown significantly, with a 25% increase in job postings over the past year. As companies like Reddit continue to invest in digital marketing, professionals with expertise in data analysis and interpretation are in high demand. With the shift to remote work, candidates need to demonstrate strong technical skills, as well as the ability to collaborate and communicate effectively with distributed teams. Before applying, candidates should be aware of the importance of staying up-to-date with industry trends and developments in tools like Media Mix Models and Multi-Touch Attribution systems.
Job Description
About the Role
The Staff Data Scientist, Marketing role at Reddit is a unique opportunity for a highly experienced professional to lead the strategy and technical execution of the company's Marketing Intelligence efforts. As a key member of the Marketing Science team, you will work at the intersection of brand building and performance marketing, ensuring every dollar spent is an investment in the long-term health of the ecosystem. Your primary focus will be on two critical areas: B2B Marketing, acquiring and retaining advertisers, and B2C Growth, acquiring and engaging new Redditors.The Marketing Science team at Reddit leverages data to maximize the impact of the company's own marketing investments, serving as the engine behind growth. Using advanced experimentation, causal inference, and econometrics, the team works to understand what drives users to Reddit and what brings advertisers to the platform. As a Staff Data Scientist, you will be responsible for setting the long-term strategic goals for Reddit's marketing measurement, influencing senior leadership, and defining how the company values its brand and performance efforts.
What You Will Do
- Set the 2-3 year technical roadmap for marketing measurement, establishing the 'North Star' metrics and frameworks that determine how Reddit allocates its marketing budget
- Build and refine Media Mix Models (MMM) and Multi-Touch Attribution (MTA) systems to mathematically quantify the incremental impact of marketing spend
- Design unified frameworks to optimize marketing aimed at both new advertisers and new users, identifying synergies where brand awareness for one fuels growth for the other
- Lead the design of complex 'always-on' incrementality testing and geo-holdout experiments to measure the long-term 'halo effect' of brand marketing on organic growth
- Collaborate deeply with Marketing, Growth, and Finance teams to translate complex data insights into actionable budget shifts
- Mentor junior scientists and set the technical bar for code quality and statistical rigor across the Marketing organization
- Advance causal inference and experimentation methodologies to continuously improve marketing ROI
- Bridge B2B and B2C growth by optimizing marketing spend and identifying opportunities for growth
- Develop and maintain dashboards and reports to track key marketing metrics and KPIs
What We Are Looking For
- Advanced degree in a quantitative field such as Economics, Statistics, Computer Science, or Mathematics
- 5+ years of experience in a data science or analytics role, preferably in marketing or a related field
- Strong technical skills in programming languages such as Python, R, or SQL
- Experience with data visualization tools like Tableau, Power BI, or D3.js
- Knowledge of machine learning algorithms and statistical modeling techniques
- Strong understanding of marketing concepts, including brand awareness, customer acquisition, and retention
- Excellent communication and collaboration skills, with the ability to work with cross-functional teams
- Experience with cloud-based data platforms like AWS or Google Cloud
- Familiarity with agile development methodologies and version control systems like Git
Nice to Have
- Experience with Media Mix Models and Multi-Touch Attribution systems
- Knowledge of causal inference and experimentation methodologies
- Familiarity with marketing automation platforms like Marketo or Pardot
- Experience with data warehousing and ETL processes
- 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 paid holidays
- Remote work stipend and equipment allowance
- Professional development opportunities and conference sponsorship
- Access to Reddit's internal platforms and tools
- Collaboration with a talented and diverse team of professionals
- Opportunity to work on high-impact projects that drive business growth
How to Stand Out
- Develop a strong portfolio that showcases your experience with data analysis and interpretation, particularly in marketing contexts.
- Be prepared to discuss your technical skills, including programming languages and data visualization tools.
- Show a deep understanding of marketing concepts and how data science can drive growth and inform business decisions.
- Highlight your ability to collaborate and communicate effectively with cross-functional teams, including marketing, growth, and finance.
- Be ready to discuss your experience with Media Mix Models and Multi-Touch Attribution systems, as well as your knowledge of causal inference and experimentation methodologies.
- Research Reddit's company culture and values, and be prepared to discuss how your skills and experience align with the company's goals and mission.
- Practice whiteboarding exercises to demonstrate your problem-solving skills and ability to think critically about complex data problems.
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