Senior Product Manager
Stepful
SQL
Senior Data Scientist
Snap Inc.
full-time
Posted on:
Origin: • 🇺🇸 United States • California, New York, Washington
Visit company websiteSalary
💰 $190,000 - $284,000 per year
Job Level
Senior
Tech Stack
PythonSQL
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
- Expertise using data modeling skills to identify key product trends and new product opportunities
- Ability to design implement, and track core metrics to analyze the performance of our products
- Ability to create visuals, dashboards, and reports to effectively communicate your insights
- Experience collaborating with engineers, product managers, and other cross-functional teams
- Ability to initiate and drive projects to completion with minimal guidance
- An understanding of Snapchat with great product sense and product understanding
- Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner Minimum Qualifications:
- 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 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.
