Associate Data Scientist

Responsibilities Translate complex business questions into clear problem statements, success metrics, and actionable quantitative solutions. Use an iterative approach: start with quick, decision-useful analysis, then refine based on feedback and observed impact. Implement and maintain reliable ML/analytics pipelines, partnering with engineering as needed to productionize and monitor. Contribute to delivering clear, impactful insights to stakeholders. Collaborate across the Product organization to operationalize data science solutions that inform strategy and optimize the user experience. Contribute to data science and product analytics best practices through documentation, code reviews, and knowledge sharing. Requirements 0-2 years of experience in Data Science and ML Engineering MS in Statistics, Data Science, Computer Science, or related discipline preferred; or equivalent professional industry experience Experience with supervised and unsupervised learning methodologies Experience with data exploration, transformation, and model development, with exposure to productionizing and monitoring Strong data fluency: selecting the right inputs, engineering business-relevant features, and validating that findings are reliable Familiarity with core statistical/ML methods and model validation fundamentals Concise and influential communication skills for a wide variety of stakeholders Ability to produce clear technical documentation and stakeholder presentations Strong attention to detail with a penchant for data accuracy Must successfully pass a background check #J-18808-Ljbffr