Data Scientist, Level 4

About the position

The Data Science and Insights team at Snap Inc. seeks to leverage massive data sets into actionable insights that deliver business value. As truth seekers and truth tellers, we relay what the data says without bias, even when inconvenient or difficult. We aim to improve decision-making quality and speed across the organization to enable a deeper understanding of our customers and products. We focus on efficient and effective analytic execution, positioning ourselves as the go-to experts with deep knowledge and expertise, constantly striving for better, faster insights from data. We’re looking for a Data Scientist to join Snap Inc.!

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 created, executed, and adopted.
• Collaborate with product managers, engineers, product marketers, and designers.
• Utilize AI tools to more efficiently develop scalable data solutions, while maintaining rigorous standards for accuracy and statistical integrity.

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.
• 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 great product sense and product understanding.
• Adaptability in learning and applying evolving AI systems and tools to remain at the forefront of data-driven decision-making, insights generation, and industry best practices.
• Bachelor's Degree in a relevant technical field such as statistics, mathematics, economics, computer science, engineering or related field or equivalent years of practical work experience.
• 3+ years of post-Bachelor’s experience in quantitative analysis and data science; or a Master’s degree in a technical field + 2+ years of post-graduate professional experience in quantitative analysis and data science ; or a Ph.D. in a relevant technical field.

Nice-to-haves

• 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.
• 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.

Benefits

• Paid parental leave
• Comprehensive medical coverage
• Emotional and mental health support programs
• Compensation packages that let you share in Snap’s long-term success (equity in the form of RSUs)