Lead Data Scientist, Analytics

Vimeo is seeking a Lead Data Scientist to join their team. In this role, you will be responsible for identifying growth opportunities using data and empirical methods. You will work closely with functional leaders to ask the right questions and unlock opportunities to make an impact on the product, business, and customer experience. The role involves applying empirical methods to inform strategic decision-making, improve performance, and measure impact. You will collaborate with various teams to deliver analyses, insights, and recommendations, and act as an analytical point of contact for stakeholders.

• Be a trusted advisor to the Digital leads to understand how the business is performing
• Proactively generate insights to inform key decision making and changes in product, acquisition, and retention strategies to improve KPIs
• Work with functional leaders to identify, design, implement, evaluate, and drive decisions through experimentation from Pricing & Packaging to customer experience
• Interrogate and synthesize large amounts of data from across the organization
• Deliver effective presentations of insights and recommendations to multiple levels of stakeholders up to the Executive team
• Deliver actionable dashboards and analyses, iterating and prototyping to meet business needs, and identify ways to improve and streamline
• Identify more scalable and effective ways to deliver insights, make information more accessible across the organization, and make an impact on how we work and organizational performance
• Collaborate with cross-functional Data, Analytics, Digital, Marketing, Finance, Product, and Engineering teams to prioritize work, define problem statements, access and interrogate data, build analytical models, explain data-gathering requirements, deliver analytics insights, and make recommendations
• Demonstrate subject matter expertise and act as an analytical point of contact for stakeholders for all digital data related matters

• 8+ years of experience as a data analyst / scientist
• Expertise with SQL and working in modern cloud data infrastructure
• Expertise with Python, R, or any other scripting language
• Expertise in data visualization tools (Tableau, Looker, Amplitude)
• Ability to turn large amounts of ambiguous data into a concise, meaningful story
• Knowledge of concepts in quantitative user behavior analysis in a SaaS business - segmentation, trends, cohorts, churn, lifetime value
• Excellent written and verbal communication skills
• Proven ability to manage

• Wide range of benefits and perks
• Bonus or commission
• Restricted Stock Units (RSUs)
• Paid time off
• Generous 401k match
• Wellbeing resources