Senior Data Scientist

About the Role

Key Responsibilities

• Develop and utilize advanced modeling and experimentation methods to measure marketing's impact across our suite of products, inform marketing decisions, and improve business outcomes.
• Optimize our marketing efforts across media channels to maximize the efficiency of our marketing spend.
• Help design, launch, and analyze experiments to understand the incrementality of marketing initiatives.
• Properly evaluate and identify flaws in experimentation practices and results, especially in marketing environments.
• Triangulate insights from various measurement approaches and effectively communicate data-driven insights to stakeholders.
• Ensure high-quality data for modeling use by collaborating with multiple marketing technology platforms and internal teams.

Requirements

• A strong academic background in a quantitative field such as Statistics, Mathematics, Operations Research, Computer Science, Economics, or Finance.
• A master's degree plus 5+ years of post-graduate experience building quantitative models to solve real-world problems, or a doctorate degree plus 2+ years of experience.
• In-depth knowledge of causal inference and experimentation techniques.
• Expertise in at least one programming language (Python preferred), with experience building models in that language.
• Proficiency in SQL and Hive.
• Proven ability to query and manipulate large-scale data sets in a cloud environment.
• Strong business sense: delight in shaping vague business questions into well-defined analytical problems and success metrics.
• Excellent communication skills: able to translate quantitative findings into actionable insights and to clearly communicate recommendations to partner teams and leadership with effective use of visual tools.
• Meaningful time as a data scientist partnering with business functions, ideally with marketing teams.
• Ability to make tradeoffs between speed and accuracy wisely.

Qualifications

• A strong academic background in a quantitative field such as Statistics, Mathematics, Operations Research, Computer Science, Economics, or Finance.
• A master's degree plus 5+ years of post-graduate experience or a doctorate plus 2+ years of experience.