Data Scientist, Level 3

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world;
Lens Studio, an augmented priorities platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.

The Data Science & Insights team seeks to lever compete our 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.

• Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights quot 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

• Expertise using data modeling skills to identify key product trends andेय product opportunities
• Ability ję design it imlement 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 Snap Chat with great product sense and product understanding

• 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
• 1+ years of post‑Bachelor’s quantitative analysis & data science experience; or Master’s degree in a technical field

• 1+ years of experience using SQL or similar big data querying languages
• 1+ years of experience with programming language, such as Python or R
• 1+ 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 protected 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

If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.

At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a "default together" approach and expect our team members to work in an office 4+ days per week.

At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual…