Data Scientist II, Growth Marketing

San Francisco, CA (Remote)

$114K/yr – $235K/yrSenior Level3+ years expFull time

Posted 4 months ago

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Job Summary

Drive advanced marketing measurement and analytics at Pinterest, building models and attribution to optimize ROI and audience targeting.

  • Lead design and deployment of measurement frameworks and ML models (propensity, forecasting, LTV).
  • Must-have: 3+ years applying scientific methods with Python/R and SQL.
  • Standout: Communicates insights to senior leadership and cross-functional teams.

Job Description

Responsibilities
  • Lead the design, implementation, and continuous improvement of advanced marketing measurement frameworks and statistical models to quantify marketing ROI.
  • 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, such as how to improve marketing ROI, how to improve marketing budget allocation to optimize the business impact, measuring the impact of marketing in both mature and new markets, identifying opportunities to increase advertiser growth and revenue through marketing initiatives
  • Translate complex analytical findings into clear, actionable insights and strategic recommendations for both technical and non-technical stakeholders, including senior leadership.
  • Design, maintain, and promote dashboards and automated reporting tools to empower stakeholders with self-serve, data-driven decision-making capabilities. Build and optimize ETL data pipelines to automate reporting, support deep dive analysis and feature engineering for analytical models
Requirements
  • 3+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems
  • Masters degree in a quantitative field such as mathematics, statistics, computer science or engineering
  • Hands-on experiences with building marketing measurement solutions to quantify the business impact of marketing tactics and investments
  • Strong background in statistics and quantitative analysis, with experience in applying advanced statistical techniques to real-world problems
  • Expertise in at least one scripting language (ideally Python/R). Proficiency in SQL/Hive. Ability to write efficient SQL queries
  • Strong business and product sense. Strong skills in shaping vague questions into well-defined analyses and success metrics that drive business decisions
  • Excellent communication skills, able to lead initiatives and communicate findings to the leadership and cross-functional teams. Explains work and thought processes clearly and concisely
  • Experience leading key technical projects
  • Strong Experimentation background
  • Statistical rigor. Experience with causal inference projects
Pinterest logo

Pinterest

4.1 Glassdoor

Pinterest's mission is to bring everyone the inspiration to create a life they love. It's the visual inspiration platform where 600 million monthly active users worldwide come to search, save, and shop the best ideas in the world for all of life’s moments.

Founded in 2010
San Francisco, California, USA
13K employees (2,418 in marketing)
75% recommend to a friend
74% CEO approval

Traffic Signals

Monthly Visitors
1.4B
Traffic Source Mix
Search
34.6%
Direct
62.9%
Referral
1.5%
Social
0.7%
Paid
0.1%

Headcount Trend

Current headcount: ~13.1K

Marketing Team

Marketing Team Size
1,315 (10% of company)
Median Career Experience
14 years
Median Tenure
3.8 years
Marketing Roles Posted (Last 30 Days)
8

Funding

Total Funding
$2.5B
Last Raise
$1B
Post IPO Debt, 13 days ago

Funding History

  • Mar 2026
    Post IPO Debt • $1B
  • Jul 2022
    Post IPO Equity
  • Jan 2020
    Post IPO Equity

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