Sr. Data Scientist, Performance Marketing

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 were 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 others unique experiences and embrace theflexibility to do your best work. Creating a career you love Its Possible.

At Pinterest AI isnt just a feature its a powerful partner that augments our creativity and amplifies our impact and were looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities well 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 Pinterests 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 youll 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) modelsto 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 were 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.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

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