Data Scientist

Join Snap Inc as a Data Scientist and leverage massive data sets to deliver actionable insights that drive business value. Collaborate with cross-functional teams and utilize AI tools to develop scalable data solutions. 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.
• Collaborer avec des chefs de produit, des ingénieurs, des spécialistes du marketing produit et des designers pour prendre des décisions éclairées.
• Concevoir, mettre en œuvre et suivre des indicateurs clés pour analyser la performance de nos produits.

• 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 initiate and drive projects to completion with minimal guidance
• Ability to create visuals, dashboards, and reports to effectively communicate your insights
• Ability to collaborate with engineers, product managers, and other cross-functional teams
• An understanding of Snapchat with great product sense and product understanding
• 3+ years of post-Bachelor’s experience in quantitative analysis and data science; or a Master’s degree in a technical field + 2+ years of post-graduate professional experience in quantitative analysis and data science ; OR a Ph.D. in a relevant technical field
• 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
• 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
• 3+ years of Experience with programming language, such as Python or R
• Experience in a product-focused role at a social media, online advertising, digital media and/or mobile technology company
• Advanced degree in applied mathematics, statistics, actuarial science, economics or related field
• 3+ years of Experience using SQL or similar big data querying languages
• 3+ years of experience with applied statistical techniques, such as inferential methods, causal methods, A/B testing, or statistical modeling techniques
• Experience using machine learning and statistical analysis for building data-driven product solutions or performing methodological research