Senior Data Scientist - Experimentation - Statistician

Senior Data Scientist – Experimentation – Statistician

Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Advanced degrees in statistics preferred.
Typically requires minimum of 7-10 years work experience in experimentation.
Database and analytical experience required. Python and SQL preferred.
Excellent written and oral communications skills.
Ability to effectively manage time.
Independent and highly self-motivated.
Ability to communicate effectively.
Strong PC skills including Microsoft Office (Word, Excel, Access, PowerPoint).

Responsible for designing and measuring experiments used to optimize interactions with customers
Build scalable processes and technical solutions that will allow for concurrently running many experiments in a way that doesn’t preclude establishing causality
Partner with non-technical stakeholders to create alignment on rigorously designed experiments
Partner with engineering teams to provide requirements that ensure experiments are implemented as designed
Review test results with stakeholders and inform strategic decisions made because of measured results
Provide thought leadership to peers on statistical best practices pertaining to personalization and marketing analytics
Translate technical findings to business impact, including an ability to articulate tradeoffs with candidate test designs (i.e., long-term learning benefit vs. short-term optimization)
Partner with engineering to deploy experimentation technical products into existing production systems
Ensure all technical processes are well documented and understood by both technical and non-technical stakeholders
Actively contribute to a test & learn roadmap for an always-on personalization engine with a focus on driving better customer outcomes
Stay abreast of methods, tools, and best practices pertaining to applied statistics and causal inference

No preferred qualifications provided.