
Senior Data Scientist
- Seattle, WA San Francisco, CA
- Permanent
- Full-time
- Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments
- Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights
- Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes
- Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends.
- Identify opportunities, advocate for new solutions and build momentum cross-functionally to move ideas forward tha tare grounded in data.
- Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments
- Translate complex concepts into implications for the business via excellent communication skills, both verbal and written
- Understand what matters most and prioritize ruthlessly
- Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate
- Bachelors' or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
- 6+ years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting
- Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction
- Significant experience with SQL
- Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
- Solid background in running multivariate experiments to optimize a product or revenue flow
- Strong verbal and written communication skills
- Strong leadership and influence skills
- Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus
- Product analytics experience in a SAAS company
- Masters' or above in a quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
- US Zone 1: San Francisco metro, New York City metro, or Seattle metro
- US Zone 2: California (outside SF metro), Colorado, Connecticut (outside NYC metro), Delaware, Illinois (Chicago metro), Indiana (Chicago metro), Maryland, Massachusetts, Michigan (Chicago metro), New Hampshire, New Jersey (outside NYC metro), New York (outside NYC metro), Oregon, Pennsylvania (D.C. metro), Pennsylvania (outside NYC or DC metro), Texas (Austin metro) Virginia (DC metro), Washington (outside Seattle metro), Washington DC metro, West Virginia (DC metro), Wisconsin (Chicago metro)
- US Zone 3: All other US locations
- Competitive medical, dental, and vision coverage
- 401(k) plan with a generous company match and immediate vesting
- Flexible PTO/Paid Time Off, paid holidays, Volunteer Time Off, and more, allowing you time to unplug, unwind, and refresh
- Income Protection Plans: Life and disability insurance
- Business Travel Protection: Travel medical and accident insurance
- Perks Allowance to be used on what matters most to you, whether that's wellness, learning and development, food and groceries, and much more
- Parental benefits including: Parental Leave, Child and Adult Care, Day Care FSA, Fertility Benefits, Adoption and Surrogacy Support, and Lactation Support
- Access to over 10,000 global co-working spaces through
- Mental health and wellness benefits
- Disability and neurodivergence support benefits