Sr. Data Scientist, Performance Marketing at Pinterest | CA, US | Rezi

Sr. Data Scientist, Performance Marketing at Pinterest

Sr. Data Scientist, Performance Marketing

Pinterest · CA, US

1 weeks ago

Sr. Data Scientist, Performance Marketing

Pinterest · CA, US

11 days ago
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About the Role

Pinterest is seeking a Senior Data Scientist to join their marketing organization. This role will introduce greater scientific rigor into marketing measurement and optimization processes, shaping the company's user growth and marketing strategy. The work will influence strategic decisions, identify growth investment opportunities, and define metrics to sustain the user base. The Senior Data Scientist will collaborate with cross-functional partners across Marketing, Product, Engineering, Design, Research, Product Analytics, and Data Engineering.

Responsibilities

  • Conduct deep strategic analysis to answer growth marketing ecosystem questions, such as driving monthly active users from paid performance marketing, quantifying its effect in new markets, and increasing user engagement and lifetime value.
  • Evolve existing systems, including geo-testing and other incrementality testing frameworks.
  • Build and deploy statistical and machine learning models (e.g., propensity, forecasting, lifetime value) to optimize marketing strategies and enhance audience targeting.
  • Develop new statistical models and maintain/improve existing ones like user lifetime value, budgeting, and long-term user retention models.
  • Collaborate on product and business problems with cross-functional partners across Product, Engineering, Analytics, Marketing, and Data Engineering.
  • Evolve experimentation capabilities and tools to evaluate the business impact of performance marketing investments, advise on best practices, identify flaws in experiment practices, and build tools for experiment analysis.
  • Identify and help teams track the right measures of success, owning the full lifecycle of metrics from logging requirements and definition to prototype pipelines and improvements.
  • Translate complex analytical findings into clear, actionable insights and strategic recommendations for technical and non-technical stakeholders, including senior leadership.
  • Write clear, actionable analyses to help teams uncover opportunities and identify areas for improvement in existing strategies.
  • Design, maintain, and promote dashboards and automated reporting tools for self-serve, data-driven decision-making.
  • Build and optimize ETL data pipelines to automate reporting, support deep dive analysis, and perform feature engineering for analytical models.

Requirements

  • Minimum 5 years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems.
  • Hands-on experience building marketing measurement solutions to quantify the business impact of marketing tactics and investments.
  • Strong background in statistics and quantitative analysis, with experience applying advanced statistical techniques to real-world problems.
  • Proficiency in SQL/Hive and 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 leadership and cross-functional teams.
  • Ability to explain work and thought processes clearly and concisely.
  • Experience leading key technical projects.
  • Strong experimentation background.
  • Statistical rigor.
  • Experience with causal inference projects.
  • US based applicants only.

Skills

  • Python/R
  • SQL/Hive
  • Statistical modeling
  • Machine learning
  • Propensity modeling
  • Forecasting
  • Lifetime value (LTV) modeling
  • Experimentation
  • Causal inference
  • ETL data pipelines
  • Dashboarding
  • Automated reporting

Location

  • Remote (situated anywhere in the country)

Work Type

  • Remote
  • Hybrid (in-office 1-2 times/quarter)

Experience Level

  • Senior

Education Level

  • Master's degree in a quantitative field such as mathematics, statistics, computer science or engineering.

Salary/Compensations

  • $139,764—$287,749 USD

Benefits

  • Equity
  • Information regarding the culture at Pinterest and benefits available for this position can be found here.

About the Company

  • 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.
  • 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.
  • 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.
  • We are looking for a Senior Data Scientist to join our marketing org.
  • The role is within the Growth Marketing team, and would be supporting performance marketing efforts focused on driving user growth for Pinterest.

Equal Opportunity

  • Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit.
  • We want to have the best qualified people in every job.
  • All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws.
  • We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
  • If you require a medical or religious accommodation during the job application process, please complete this form for support.