Sr. Data Scientist, Performance Marketing
Pinterest · United States
- Hybrid
- Full-time
- $287,749 / year
- United States
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Job highlights
- Drive user growth through performance marketing analysis.
- Develop and deploy advanced statistical models.
- Evolve and improve experimentation frameworks.
- Translate complex data into strategic recommendations.
- Collaborate cross-functionally with diverse teams.
About the role
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.
Senior Data Scientist, Performance Marketing Role
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.
- Collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Analytics, Marketing, Data Engineering and others.
- Evolve our experimentation capabilities and tools to evaluate the business impact of performance marketing investment. Advise on experimentation best practices; identifying flaws in experiment practices and results; building tools for experiment analysis; etc.
- Identify the right measures of success for teams and help them track those metrics. Own the full lifecycle of those metrics from logging requirements, metrics definition, prototype pipelines, and improvements.
- Translate complex analytical findings into clear, actionable insights and strategic recommendations for both technical and non-technical stakeholders, including senior leadership.
- Write clear, actionable analyses that help teams uncover opportunities and identify areas of improvement to our existing strategies.
- 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.
What We’re Looking For
- 5+ 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.
Key skills/competency
- Data Science
- Performance Marketing
- Statistical Modeling
- Machine Learning
- Experimentation
- Causal Inference
- SQL
- Python/R
- Marketing Measurement
- User Growth
Skills & topics
- Data Scientist
- Performance Marketing
- Marketing Analytics
- Machine Learning
- Statistical Modeling
- Experimentation
- Causal Inference
- Python
- SQL
- User Growth
- Marketing Strategy
- Data Analysis
- Quantitative Analysis
- Tech
- SaaS
How to get hired
- Tailor your resume: Highlight experience in marketing measurement, statistical modeling, and causal inference, using keywords from the job description.
- Showcase your quantitative skills: Emphasize your Master's degree, 5+ years of experience, and proficiency in Python/R and SQL.
- Prepare for AI-focused interviews: Be ready to explain your analytical approaches and how you collaborate with AI tools.
- Demonstrate business acumen: Articulate how you translate data insights into actionable strategies for growth.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the work arrangement for the Senior Data Scientist, Performance Marketing role at Pinterest?
- This role has a hybrid work arrangement. While the team is distributed nationwide, you will be expected to be in the office for in-person collaboration 1-2 times per quarter. This allows for flexibility while ensuring essential in-person connection.
- What are the key technical skills required for a Senior Data Scientist at Pinterest?
- Pinterest seeks candidates with expertise in scripting languages like Python or R, proficiency in SQL/Hive for data querying, and experience in building marketing measurement solutions. A strong background in statistics, quantitative analysis, and machine learning models (e.g., propensity, LTV) is crucial.
- How does Pinterest approach interviews for data science roles, especially regarding AI?
- Pinterest emphasizes explaining your thought process and approach, particularly how you collaborate with AI. They value understanding not just what you know, but how you think. Be prepared to discuss your foundational skills and how you integrate AI into your work.
- What kind of impact can a Senior Data Scientist have at Pinterest?
- As a Senior Data Scientist on the Growth Marketing team, your work will directly shape Pinterest's user growth and marketing strategy. You'll identify investment opportunities, understand user behavior, and define key metrics, influencing strategic decisions company-wide.
- What is the required educational background for this Senior Data Scientist position?
- Pinterest requires a Master's degree in a quantitative field such as mathematics, statistics, computer science, or engineering for this role. This is in addition to at least 5 years of combined academic and industry experience.
- How does Pinterest handle compensation for the Senior Data Scientist role?
- The base salary range for this position is $139,764—$287,749 USD, and the role is also eligible for equity. Final salary is determined by factors including location, prior experience, and specific skills.
- What is the company's stance on diversity and inclusion for the Senior Data Scientist role?
- Pinterest is an equal opportunity employer committed to diversity and inclusion. They make employment decisions based on merit and qualifications, and all qualified applicants receive consideration without regard to protected characteristics.
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