Data Scientist - L3 (Copy)

Gem Sales Demo • San Francisco, CA

3d

About The Position

This role involves applying expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful data insights that enable informed business and product decisions. The Data Scientist will drive timely decision-making to improve and optimize product development, completion, and adoption. Collaboration with product managers, engineers, product marketers, and designers is a key aspect of this position.

Requirements

• 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.

Nice To Haves

• 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.
• 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.

Responsibilities

• Apply 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level