About this role

Translate complex business problems into coherent, actionable quantitative solutions.
Implement, automate, and maintain reliable, performant, and end-to-end ML systems using software engineering and MLOps best practices.
Deliver clear, impactful insights to stakeholders through effective communication.
Collaborate with stakeholders across the Product org to operationalize data science solutions that inform strategy and optimize the user experience.
Promote best practices across the data science and product analytics team.

2+ years experience in Data Science and ML Engineering
MS or Ph.D in Statistics/Data Science/Computer Science or related disciplines with specialization in machine learning techniques
Experience with both supervised and unsupervised learning methodologies
Full stack experience in data collection, aggregation, analysis, visualization, productionalization, and monitoring of data science products
Familiarity with well-known statistical and ML models and methods
Ability to innovate without over-engineering
Communicate concisely and persuasively with a wide variety of stakeholders
Strong detail orientation with a penchant for data accuracy
Must successfully pass a background check

Data Scientist

Key skills