Sr. Data Scientist, Performance Marketing
Senior data scientist on Pinterest's Growth Marketing team measuring and optimizing paid performance marketing for user growth: builds LTV, propensity and forecasting models, geo/incrementality testing frameworks, dashboards and ETL pipelines using statistics, causal inference, Python/R and SQL/Hive.
- Compensation
- $139.8K–$287.7K / yr
- Location
- San Francisco, CA, US; Remote, US
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Data science
- Posted
Skills
Must have
- Minimum 5 years combined post-graduate academic and industry experience applying scientific methods to real-world problems
- Master's degree in a quantitative field (mathematics, statistics, computer science or engineering)
- Hands-on experience building marketing measurement solutions to quantify business impact of marketing tactics
- Strong background in statistics and quantitative analysis with advanced statistical techniques
- Expertise in at least one scripting language (ideally Python/R)
- Proficiency in SQL/Hive with ability to write efficient SQL queries
- Strong business and product sense; shaping vague questions into well-defined analyses and success metrics
- Excellent communication skills; lead initiatives and communicate findings to leadership and cross-functional teams
- Experience leading key technical projects
- Strong experimentation background
- Statistical rigor with experience in causal inference projects
Full description
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
We are looking for a Senior Data Scientist to join our marketing org. As a Senior Data Scientist you introduce greater scientific rigor into the marketing measurement and optimization processes to shape Pinterest’s user growth and marketing strategy. The results of your work will influence and drive strategic decisions for the company - identify investment opportunities for growth, understand user growth and behavior, and define metrics to grow and sustain our user base. You will collaborate on a wide array of business problems with a diverse set of cross-functional partners across Marketing, Product, Engineering, Design, Research, Product Analytics, Data Engineering and others.
The role is within the Growth Marketing team, and would be supporting performance marketing efforts focused on driving user growth for Pinterest.
What you’ll do:
- Deep strategic analysis to answer growth marketing ecosystem questions such as how to drive monthly active users from paid performance marketing, how to quantify the effect of paid performance marketing in new markets, how to drive user engagement and user LTV (lifetime value) from performance marketing.
- Evolve our existing systems like geo-testing frameworks and other incrementality testing frameworks.
- 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 new statistical models as well as maintain/improve existing models like user lifetime value models, budgeting models, long term user retention models etc.