Senior Data Science Manager, Marketing

Reddit; United States; Remote; USD 160,000 - 230,000; Full time

Benefits offered by this job

Remote-friendly

Job summary

Reddit is expanding its Data Science Team and seeking a Senior Manager to lead data scientists focused on Marketing & Business Development. The role partners with Product, Engineering, Design, and Marketing to translate data into strategic insights and actionable recommendations that guide budget and growth decisions.

Responsibilities include building a high-performing team, shaping the roadmap, delivering causal insights, and standardizing measurement across campaigns to maximize ROI and user

Responsibilities

• Lead and Develop: Build, lead, and mentor a high-performing team of data scientists focused on the Marketing & Business Development domain.
• Drive Strategy: Serve as a thought-partner to cross-functional leaders (Product, Engineering, Design, and Marketing), communicating and shaping the roadmap and strategy for Reddit by identifying actionable and impactful insights.
• Deliver Causal Insights: Lead initiatives to quantify the true incremental lift of marketing spend and prevent budget allocation on non-incremental channels, including developing and deploying Incremental/Predictive LTV models.
• Standardize Measurement: Oversee the establishment of measurement frameworks (incl. effective experimental designs and/or Causal inference methods) to evaluate Brand Initiatives and ensure consistent metrics are aligned across the organization for campaign quality and ROI.

Job description

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com .

At Reddit we continue to grow our teams with the best talent. We're completely remote friendly .

Team Description:

The Data Science Team at Reddit is expanding, and we are looking for an experienced leader to head a team of talented data scientists focused on the Marketing & Business Development domain. Our core mission is to evolve Marketing & BD Data Science from ad-hoc reporting to a strategic data science partnership that scales Reddit’s marketing efforts, and to help product and marketing teams make data-driven, high-confidence decisions.

The team's work is centered around three strategic pillars:

• Data Foundations: Building and maintaining a canonical single source of truth for marketing performance and attribution, leveraging robust data foundations to power reliable campaign analyses, experimentation, and accurate Lifetime Value (LTV) modeling.
• Causal Measurement & Metrics: Ensuring consistent measurement of campaign quality and ROI by defining and deploying advanced causal decision frameworks and models.
• Decision-Making Insights: Functioning as a strategic partner to the Marketing organization, translating data into clear, actionable recommendations to guide budget allocation and identify high-value growth segments.

Responsibilities:

As a Data Science Senior Manager, you will lead a team that is crucial to Reddit's user growth strategy. You will:

• Lead and Develop: Build, lead, and mentor a high-performing team of data scientists focused on the Marketing & Business Development domain.
• Drive Strategy: Serve as a thought-partner to cross-functional leaders (Product, Engineering, Design, and Marketing), communicating and shaping the roadmap and strategy for Reddit by identifying actionable and impactful insights.
• Deliver Causal Insights: Lead initiatives to quantify the true incremental lift of marketing spend and prevent budget allocation on non-incremental channels, including developing and deploying Incremental/Predictive LTV models.
• Standardize Measurement: Oversee the establishment of measurement frameworks (incl. effective experimental designs and/or Causal inference methods) to evaluate Brand Initiatives and ensure consistent metrics are aligned across the organization for campaign quality and ROI.
• Drive Adoption: Drive the adoption of strategic