Data Scientist - L3 (Copy)
Gem Sales Demo San Francisco, California, United States
Software Development · 51-200 employees
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About the role
Apply quantitative analysis and statistical modeling to provide actionable insights that drive business and product decisions. Collaborate with cross-functional teams including product managers, engineers, and designers to optimize product performance.
What they look for
Requirements
Requires a bachelor's degree in a technical field and at least 3 years of experience in data science or quantitative analysis. Proficiency in SQL, Python or R, and applied statistical techniques is mandatory.
Full description
***DEMO JOB POST***
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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