Data Scientist II - Growth Marketing

8w2 months ago

San Francisco, US · Full-time · $114,297 – $235,319

About this role

At Pinterest, millions of people come to our platform to find creative ideas and plan for memories that will last a lifetime. We’re looking for a Data Scientist to join our marketing org, introducing greater scientific rigor into marketing measurement and optimization processes. Your work will shape Pinterest’s revenue growth and marketing strategy.

You will lead the design and implementation of advanced marketing measurement frameworks and statistical models to quantify ROI across channels like paid media, organic social, email, events, and webinars. Build and deploy machine learning models such as propensity, forecasting, and LTV models to optimize strategies. Develop attribution methodologies and assess incremental impact using causal inference techniques.

The role supports business marketing efforts focused on driving revenue growth, collaborating with diverse cross-functional partners across Marketing, Product, Engineering, Analytics, and others. Influence strategic decisions by identifying investment opportunities, understanding revenue growth, and defining metrics to sustain the advertiser base. Work within a team that values AI as a powerful partner augmenting creativity.

Conduct deep strategic analyses on improving marketing ROI, budget allocation, and advertiser growth in mature and new markets. Translate complex findings into actionable insights for technical and non-technical stakeholders, including senior leadership. Embrace flexibility with PinFlex to do your best work and ignite innovation for millions.

Requirements

3+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems
Master's degree in a quantitative field
Experience with statistical modeling and machine learning for marketing optimization
Proficiency in causal inference techniques and experiment design for incremental impact assessment
Skills in attribution modeling across multi-channel marketing
Ability to build forecasting, propensity, and LTV models
Experience developing dashboards, automated reporting, and ETL pipelines

Responsibilities

Lead the design, implementation, and continuous improvement of advanced marketing measurement frameworks and statistical models to quantify marketing ROI across channels like paid media, organic social, email, events, webinars, and elearning platforms
Build and deploy statistical and machine learning models such as propensity, forecasting, and lifetime value (LTV) models to optimize marketing strategies and enhance audience targeting
Develop and refine attribution methodologies to evaluate the effectiveness of marketing initiatives across multiple channels
Assess the incremental impact of marketing activities using causal inference techniques and testing/experiment frameworks
Conduct deep, strategic analyses to address key business questions like improving marketing ROI, budget allocation, market impact, and advertiser growth opportunities
Translate complex analytical findings into clear, actionable insights and strategic recommendations for technical and non-technical stakeholders, including senior leadership
Design, maintain, and promote dashboards and automated reporting tools to empower self-serve data-driven decisions; build and optimize ETL data pipelines for reporting, analysis, and model feature engineering

Benefits

Embrace flexibility to do your best work with PinFlex
Influence and drive strategic decisions for the company
Collaborate with diverse cross-functional partners across Marketing, Product, Engineering, and Analytics
Work with AI as a powerful partner that augments creativity and amplifies impact