Lead, Marketing Analytics and Data Science

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

The Marketing team at Snap articulates and brings to life who we are as a brand, why we exist, who we serve, and what value we have to offer. We are on a mission to build a best-in-class international marketing organization. With functions spanning global consumer and business brand marketing, consumer insights, analytics and strategy, creative, and marketing operations, the team enables and activates marketing initiatives across the entire Snap Inc. ecosystem.

We’re looking for a Marketing Analytics and Data Science Lead to join our Marketing team!

What you’ll do:

• Lead and own the full cycle of marketing analytics from strategizing to performance evaluation.
• Conduct in-depth analysis of all data sources, building experiments, testing hypotheses, identifying patterns, and providing the necessary business context to translate what it all means and explain why.
• Define metrics and build a defensible measurement framework to quantify marketing impact and incrementality.
• Provide insights and actionable recommendations that drive the continuous improvement of marketing performance, optimize marketing strategies, and ultimately accelerate the growth of Snap.
• Influence marketing tactics and support campaign executions in segmentation, targeting, and creatives based on research and previous learnings.
• Design, develop and maintain dashboards for benchmarking and optimization.
• Exploratory analysis that influences longer-term thinking and enhances analytical capabilities and efficiency.
• Partner closely with data scientists, engineers, and PMs to create Airflow pipelines that power dashboards.
• Work cross-functionally and partner with brand and media marketers, finance team members, data scientists, and engineers to benchmark performance, solve problems and conduct data analysis at scale.

Knowledge, Skills & Abilities:

• Proficiency in SQL and R or Python
• Strong statistical knowledge, ability to design experiments (A/B testing, multivariate testing), and conduct rigorous analyses to interpret results
• Experience in user engagement, LTV, behavior and incrementality analytics
• Experience in Media Mix Modeling, Propensity Modeling, Clustering Modeling, and Causal Inference techniques
• Strong understanding of data visualizations and ability to create high-quality dashboards
• Executes with a high degree of precision, ensuring attention to detail
• Excellent verbal and written communication skills to convey technical concepts and their implications to non-experts with diverse backgrounds
• Ability to create a cohesive data-driven story that can inform marketing strategies
• Ability to thrive in a fast-paced, ever-changing work environment
• High curiosity, hungry to learn, highly self-motivated, with attention to detail, and a passion for applying research in your analyses

Minimum Qualifications:

• Bachelor's degree in a quantitative field, such as operations research, statistics, applied mathematics, or other related areas of study, or equivalent years of experience
• 8+ years of analytics experience across ad efficacy, data science, or business intelligence engineering at a leading ad platform, agency, or research firm

Preferred Qualifications:

• Master or Ph.D degree in math, statistics, operations research, or other quantitative fields