Data Scientist at Snap applying quantitative analysis and modeling to deliver actionable insights. Collaborating with cross-functional teams to drive informed product decisions from massive data sets.
Responsibilities
Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisions
Drive informed and timely decision-making that improves and optimizes the way our products are created, executed, and adopted
Collaborate with product managers, engineers, product marketers, and designers
Requirements
Bachelor's Degree in a relevant technical field such as statistics, mathematics, economics, computer science, engineering or related field or equivalent years of practical work experience
3+ years of post-Bachelor’s experience in quantitative analysis and data science; or a Master’s degree in a technical field + 2+ years of post-graduate professional experience in quantitative analysis and data science; OR a Ph.D. in a relevant technical field.
3+ years of Experience using SQL or similar big data querying languages
3+ years of Experience with programming language, such as Python or R
3+ years of experience with applied statistical techniques, such as inferential methods, causal methods, A/B testing, or statistical modeling techniques
Advanced degree in applied mathematics, statistics, actuarial science, economics or related field
Experience in a product-focused role at a social media, online advertising, digital media and/or mobile technology company
Experience using machine learning and statistical analysis for building data-driven product solutions or performing methodological research.
Benefits
Paid parental leave
Comprehensive medical coverage
Emotional and mental health support programs
Compensation packages that let you share in Snap’s long-term success!
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