Senior Data Scientist, Level 5

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 operates Snapchat () , a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc. () , a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji () , Saturn, and other digital services.

The Data Science and Insights team seeks to leverage 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.

We’re looking for a Sr. Data Scientist to join Snap Inc.

What you’ll do:

• 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 created, executed, and adopted'

• Collaborate with product managers, engineers, product marketers, and designers

• Think creatively, proactively, and futuristically to identify and size up new opportunities within Snap s long term roadmap for data-scientific contributions

• Conduct machine learning or statistical analyses, and build pragmatic, scalable, and statistically rigorous solutions to deliver actionable insights, accurate predictions, and effective optimizations

• Communicate best practices in quantitative analysis and develop cross-functional partnerships

• Utilize AI tools to more efficiently develop scalable data solutions, while maintaining rigorous standards for accuracy and statistical integrity.

Knowledge, Skills and 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 create visuals, dashboards, and reports to effectively communicate your insights

• Experience collaborating 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

• Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner

• 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

Minimum Qualifications:

• 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

• 5+ years of post-Bachelor’s quantitative analysis and data science experience ; or a Master’s degree in a technical field + 4+ years of post-grad quantitative analysis and data science experience; or a PhD in a related technical field + 1+ years of post-grad quantitative analysis and data science experience

Preferred Qualifications:

• 5+ years of experience using SQL or similar big data querying languages

• 5+ years of experience with programming language, such as Python or R

• 5+ 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…