Data Scientist - Intermediate - Hybrid
Precision Human Capital Inc
- United States
- United States
Über
As the ideal candidate, you will be responsible for the following:
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. Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets 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) Qualifications:
BA / BS degree in a quantitative field (ex Math, Stats, Physics, or Computer Science) with two plus years relevant experience, or PhD degree in a related field with 1 plus years of relevant experience. Ability to independently create plans for analytics projects and a track record of overseeing large / complex analytical projects spanning multiple teams. Understanding of statistical concepts and experience in applying them. Related, understanding of experimentation best practices and concepts (e.g., incrementality, cannibalization, etc.) Experience in data analyses using SQL. Experience in at least one programming language (preferably Python). Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution. Nice to haves:
Domain experience in product, marketing, growth, and/or other business analytics areas.
If this opportunity speaks to you than don't delay, apply today!
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klicken Sie auf „Jetzt Bewerben“, um Ihre Bewerbung direkt auf deren Website einzureichen.