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 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
• 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
• 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

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

Preferred Qualifications:

• 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-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

"Default Together" Policy at Snap: 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.

: Snap Inc. is its own community, so weve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snaps long-term success!

Compensation

In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidates starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position.These pay zones may be modified in the future.

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