Description
Snap Inc. is hiring a Data Scientist to apply quantitative analysis, data mining, statistical modeling, and AI tools to generate actionable insights for product and business decisions. The role involves designing and tracking core metrics, creating dashboards and reports, collaborating with product, engineering, marketing, and design teams, and driving projects to completion. Candidates need a relevant bachelor’s degree or equivalent experience, at least one year of post-bachelor’s quantitative analysis and data science experience, and preferably experience with SQL, Python or R, statistical methods, machine learning, and product-focused technology companies. The position follows a default-together policy requiring office attendance four or more days per week and offers base salaries of $100,000–$176,000 annually depending on the pay zone, plus RSU equity.
