Manager II, Data Science at Pinterest Job Advertisements | NY, US | Rezi

Manager II, Data Science at Pinterest Job Advertisements

Manager II, Data Science

Pinterest Job Advertisements · NY, US

2 weeks ago

Manager II, Data Science

Pinterest Job Advertisements · NY, US

19 days ago
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About the Role

Lead and build the Marketing Data Science team at Pinterest, developing roadmaps and execution plans to support marketing operations. Drive the creation and evolution of models like MMM, Geo-Testing, and Incrementality to quantify marketing investment impact and optimize ROI.

Responsibilities

  • Lead and grow a Data Science team supporting Pinterest’s marketing operations.
  • Develop the roadmap and execution plan for data science teams.
  • Drive the creation and evolution of Marketing Mix Models (MMM), Geo-Testing and Incrementality models, and other statistical analyses.
  • Design, prioritize, and deliver against a roadmap that quantifies and improves marketing ROI.
  • Serve as a technical leader and contributor to the data science practice.
  • Define team’s technical standards and own critical analyses.
  • Hire, coach, and develop high-performing Data Scientists.
  • Foster technical excellence and professional growth within the team.
  • Collaborate deeply with Product, Engineering, Marketing, Analytics, and other Data Science teams.
  • Build and design new tools and processes, such as recommendation engines, to uncover cost-saving strategies and optimize marketing investments.
  • Serve as a trusted thought partner to senior leadership and stakeholders.
  • Communicate insights, influence strategy, and elevate the data science profile across the company.

Requirements

  • Master's degree (or its foreign degree equivalent) in Quantitative Methods, Data Analysis, Quantitative Analysis or a related field.
  • Five (5) years of experience in the job offered or a related position.

Skills

  • MySQL: Writing and optimizing MySQL/SQL queries for large-scale datasets; building standardized datasets and metrics for MMM, geo-testing, and incrementality measurement.
  • Python: Developing reproducible data science workflows for data preparation, feature engineering, statistical/ML modeling, and automation of analysis pipelines.
  • Statistical Analysis: Quantifying marketing performance, measuring uncertainty, and translating results into actionable recommendations.
  • Experimentation: Designing and analyzing marketing experiments, including geo-based tests.
  • Causal Inference: Estimating causal impact of marketing spend using causal inference and quasi-experimental approaches.
  • R: Implementing and iterating on MMM and incrementality models, conducting regression/time-series analyses, and performing model diagnostics.
  • Modeling: Developing and maintaining marketing measurement and ROI models.
  • Machine Learning: Applying machine learning to build decision-support tools for cost-saving and marketing efficiency improvements.
  • Data Analysis: Performing end-to-end marketing data analysis, from problem framing to executive-ready storytelling.
  • SQL
  • Data Modeling

Location

  • Telecommuting
  • Remote

Work Type

  • Full-time

Experience Level

  • Five (5) years of experience

Education Level

  • Master's degree

Salary/Compensations

  • $285,000.00 - $339,078.00 per annum

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.

Equal Opportunity

  • Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit.
  • 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.
  • See also Know Your Rights and Pinterest Policy for more information regarding U.S. roles.
  • If you require a medical or religious accommodation during the job application process, please complete this form for support.