Senior Data Scientist
| Company | Snap |
|---|---|
| Location | Palo Alto, CA, USA, Seattle, WA, USA, San Francisco, CA, USA, Los Angeles, CA, USA, New York, NY, USA, Bellevue, WA, USA |
| Salary | $162000 – $284000 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Senior |
Requirements
- BS/BA degree in statistics, mathematics, economics, computer science, engineering or related field or equivalent years of experience
- 5+ years of experience in quantitative analysis & data science or a related field
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
- 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
Preferred Qualifications
- 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.