
Senior Data Scientist
Snap Inc.
full-time
Posted on:
Location Type: Hybrid
Location: Los Angeles • California • New York • United States
Visit company websiteExplore more
Salary
💰 $190,000 - $284,000 per year
Job Level
About the role
- 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
- Think creatively, proactively, and futuristically to identify and size up new opportunities within Snap's long term roadmap for data-scientific contributions
- Conduct machine learning or statistical analyses, and build pragmatic, scalable, and statistically rigorous solutions to deliver actionable insights, accurate predictions, and effective optimizations
- Communicate best practices in quantitative analysis and develop cross-functional partnerships
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
- 5+ years of post-Bachelor’s quantitative analysis and data science experience; or a Master’s degree in a technical field + 4+ years of post-grad quantitative analysis and data science experience; or a PhD in a related technical field + 1+ years of post-grad quantitative analysis and data science experience
- 5+ years of experience using SQL or similar big data querying languages
- 5+ years of experience with programming language, such as Python or R
- 5+ 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
quantitative analysisdata miningstatistical modelingmachine learningSQLPythonRA/B testinginferential methodscausal methods
Soft Skills
collaborationcreativityproactivitycommunication
Certifications
Bachelor's DegreeMaster's DegreePhD