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SI
Senior Data Scientist
Snap Inc. · Santa Monica, United States
About The Role
Join Snap Inc. as a Senior Data Scientist and leverage massive data sets to deliver actionable insights that drive business value. Collaborate with cross-functional teams, conduct machine learning and statistical analyses, and communicate best practices in quantitative analysis. Enjoy a comprehensive benefits package, including generous time off, medical coverage, and a 401(k) plan.
- Utiliser votre expertise en analyse quantitative, en exploration de données et en modélisation statistique pour fournir des informations exploitables et objectives.
- Collaborer avec des chefs de produit, des ingénieurs, des spécialistes du marketing produit et des designers pour prendre des décisions éclairées et opportunes.
- Conduire des analyses d'apprentissage automatique ou statistiques et construire des solutions pragmatiques, évolutives et rigoureuses sur le plan statistique.
- 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
- 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
- Ability to create visuals, dashboards, and reports to effectively communicate your insights
- Ability to initiate and drive projects to completion with minimal guidance
- 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
- Ability to design implement, and track core metrics to analyze the performance of our products
- An understanding of Snapchat with great product sense and product understanding
- Expertise using data modeling skills to identify key product trends and new product opportunities
- Experience collaborating with engineers, product managers, and other cross-functional teams
- 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
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