Senior Data Scientist, Level 5

Snap Inc.•Los Angeles, CA

6d•$162,000 - $284,000•Hybrid

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, the team relays what the data says without bias, aiming to improve decision-making quality and speed across the organization for a deeper understanding of customers and products. They focus on efficient and effective analytic execution, positioning themselves as go-to experts with deep knowledge and expertise, constantly striving for better, faster insights from data. This role is for a Sr. Data Scientist to join Snap Inc.

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.
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.
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.

Nice To Haves

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.

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 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.