Data Science Manager, Consumer

About the Role

The Data Science Manager, Consumer at Reddit will lead a team of talented data scientists to uncover insights and drive strategic initiatives that optimize user growth. As a key member of the Data Science Team, this role will collaborate closely with cross-functional partners, including Product, Engineering, Design, and Marketing. The successful candidate will have a deep understanding of data analysis, experimentation, and product strategy, with a keen interest in driving business outcomes through data-driven decision making.

The role entails working closely with product managers, engineering managers, and leadership to identify actionable insights, develop strategic recommendations, and communicate complex data analysis to both technical and non-technical stakeholders. The team context is fast-paced and dynamic, with a focus on driving user growth and optimizing the user experience.

The Data Science Team at Reddit is growing, and this role will play a critical part in shaping the company's user growth strategy. Reporting to senior leadership, the Data Science Manager will have the opportunity to work with a talented team of data scientists, product managers, and engineers to drive business outcomes.

What You Will Do

• Drive the adoption of strategic and tactical recommendations based on deep and hands-on experience with Reddit products and data skills
• Serve as a thought-partner for product managers, engineering managers, and leadership to shape the roadmap and strategy for Reddit
• Be proactively involved in all phases of product development, including ideation, exploratory analysis, opportunity sizing, metrics design, offline modeling, experimentation, and decision-making
• Collaborate with cross-functional partners to identify actionable insights and develop strategic recommendations
• Develop and maintain a deep understanding of Reddit's products, users, and business goals
• Communicate complex data analysis and insights to both technical and non-technical stakeholders
• Lead and develop high-performing product analytics teams, with expertise in causal inference, A/B testing experimentation, metric definition, and governance
• Drive initiatives to enable analytics self-serve for cross-functional teams
• Work closely with the Data Science Team to develop and implement data-driven solutions to drive user growth

What We Are Looking For

• Advanced degree (masters or PhD) in a quantitative field, such as statistics, mathematics, physics, economics, or operations research
• 10+ years of industry experience for masters holders, or 6+ years of industry experience for PhD holders
• Experience in driving product strategy and roadmaps through analytics, ideally for consumer technology products and marketplaces
• Leadership experience as a people manager, leading a team of 5+ data scientists
• Expertise in causal inference, A/B testing experimentation, metric definition, and governance
• Ability to communicate complex data analysis and insights to both technical and non-technical stakeholders
• Strong understanding of nuanced complex concepts and systems, with the ability to explain them simply
• Experience working with large datasets, data visualization tools, and machine learning algorithms

Nice to Have

• Experience working with cloud-based data platforms, such as AWS or GCP
• Knowledge of programming languages, such as Python, R, or SQL
• Experience with data visualization tools, such as Tableau or Power BI
• Familiarity with machine learning algorithms and deep learning techniques
• Experience working with cross-functional teams, including product, engineering, design, and marketing

Benefits and Perks

• Competitive salary and equity package
• Comprehensive health insurance, including medical, dental, and vision
• Flexible PTO policy, with a minimum of 4 weeks paid vacation
• Remote work stipend, including a home office setup and internet reimbursement
• Professional development opportunities, including conference sponsorships and training programs
• Access to a talented team of data scientists, product managers, and engineers
• Opportunities for career growth and advancement within the company

• Develop a strong understanding of data analysis, experimentation, and product strategy, with a focus on driving business outcomes through data-driven decision making.
• Showcase your ability to communicate complex data analysis and insights to both technical and non-technical stakeholders, with a focus on simplicity and clarity.
• Highlight your experience working with cross-functional teams, including product, engineering, design, and marketing, with a focus on collaboration and strategic recommendations.
• Emphasize your leadership experience as a people manager, with expertise in leading high-performing product analytics teams.
• Prepare to discuss your experience working with large datasets, data visualization tools, and machine learning algorithms, with a focus on practical applications and business outcomes.
• Be prepared to talk about your experience with cloud-based data platforms, programming languages, and data visualization tools, with a focus on adaptability and continuous learning.
• Showcase your portfolio of work, with a focus on data-driven projects and strategic recommendations that have driven business outcomes.