We’re looking for a Senior Data Scientist to join our Core Data Science team at 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 and high-velocity analytical workflows to develop scalable data solutions, generate actionable insights, and accelerate decision-making while maintaining rigorous standards for accuracy, methodological integrity, data quality, and operational excellence

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-gradquantitative 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 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 we99ve 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 Snap99s 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 candidate99s 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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