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Pinterest · 1 day ago

Data Scientist II, Growth Marketing

San Francisco, CA

Full-time

Hybrid

Mid, Senior Level

$114K/yr - $235K/yr

5+ years exp

Pinterest is a platform that inspires creativity and innovation. They are seeking a Data Scientist to enhance marketing measurement and optimization processes, driving revenue growth and informing strategic decisions through data analysis and collaboration with cross-functional teams.

InternetSocial BookmarkingSocial MediaSocial NetworkSoftware

Comp. & Benefits

No H1B

Responsibilities

Lead the design, implementation, and continuous improvement of advanced marketing measurement frameworks and statistical models to quantify marketing ROI. Marketing channels could be different paid media, organic social, email, in person events, webinars, elearning platform etc

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 and refine attribution methodologies to evaluate the effectiveness of marketing initiatives across multiple channels

Assess the incremental impact of marketing activities using causal inference techniques and testing/experiment frameworks

Conduct deep, strategic analyses to address key business questions, such as how to improve marketing ROI, how to improve marketing budget allocation to optimize the business impact, measuring the impact of marketing in both mature and new markets, identifying opportunities to increase advertiser growth and revenue through marketing initiatives

Translate complex analytical findings into clear, actionable insights and strategic recommendations for both technical and non-technical stakeholders, including senior leadership

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

Qualification

Statistical modelingMachine learningSQLCausal inferenceData visualizationPython/RMarketing measurementExperimentationQuantitative analysisCommunication skills

Required

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