We are seeking an exceptional data science leader with a passion for data insights and relentless focus on execution:

• You are curious and inquisitive: love digging into data and uncovering insights 
• You are hyper-analytical and intellectually honest, truly believing in data-driven decisions and communicating your ideas through storytelling
• You are a highly motivated, result-oriented self-starter, enjoy working in a fast-paced environment, and can deliver successful results with minimal guidance
• You are a player-coach, and are not afraid of rolling up your sleeves and jumping into details 

Your day to day:

• Challenge the status quo, and drive data backed decision making
• Partner closely with product leaders to understand new product offerings being built and recommend the right metrics to measure the performance of those features
• Identify key metrics, conduct rigorous explorative data analysis, create executive facing dashboards and build business cases that drive decision making and business prioritization
• Analyze consumer product performance and health, triage issues, and provide recommendation on the best course solution and optimization
• Synthesizing large volumes of data with attention to granular details and present findings and recommendations to senior-level stakeholders
• Collaborate with engineering and data engineering to enable feature tracking, resolve complex data and tracking issues, and build necessary data pipelines
• Define and cultivate best practices in analytics instrumentation and experimentation
• Support multiple projects at the same time in a fast-paced, results-oriented environment
• Mentor junior analysts on complex analyses

What do you need to bring:

• At least 5 years of experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions
• B.S. in a quantitative field, advanced degrees preferred
• Fluent in SQL and at least one scripting language such as Python or R, comfortable working with large, complex, and potentially messy datasets
• Understanding of statistics (e.g. hypothesis testing, statistical inference, regression) and experience designing and evaluating complex experiments 
• Exceptional communication skills, both written and verbal, to influence cross-functional teams
• Strong interpersonal skills and experience leading cross-functional teams
• Prior work experience in a product analytics space would be highly valued

A passion for problem-solving and comfort with ambiguity