Data Scientist - L3 (Copy)
Required skills
- quantitative analysis
- data mining
- statistical modeling
- data insights
- business decisions
- product decisions
- data modeling
- product trends
- product opportunities
- core metrics
Nice to have
- machine learning
- statistical analysis
- data-driven product solutions
- methodological research
- social media
- mobile technology
Role summary
The Data Scientist - L3 will leverage expertise in quantitative analysis, data mining, and statistical modeling to provide actionable data insights for business and product decisions. This role involves identifying product trends, analyzing performance through core metrics, and communicating findings via visuals and dashboards. The position requires strong SQL and programming skills (Python/R), applied statistical techniques, and data modeling capabilities. Experience with machine learning and a product-focused mindset, particularly within social media or mobile technology, is preferred. The role emphasizes collaboration and project ownership with minimal supervision.
Job 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 built, completed, and adopted'
- Collaborate with product managers, engineers, product marketers, and designers
Knowledge, Skill & Abilities
- 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 build visuals, dashboards, and reports to optimally communicate your insights
- Ability to collaborate 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 phenomenal product sense and product understanding
Minimum Qualifications
- BS/BA degree in a technical field such as statistics, mathematics, economics, computer science or equivalent years of experience
- 3+ years of experience in quantitative analysis & data science or a related 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
Preferred Qualifications
- Advanced degree in applied mathematics, statistics, actuarial science, economics or related field
- Experience in a product-focused role at a social media and/or mobile technology company
- Experience using machine learning and statistical analysis for building data-driven product solutions or performing methodological research.
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