jobapplier

Data Scientist

Snap Inc.

Skills

Required

  • quantitative analysis
  • data science
  • programming language
  • Python
  • actuarial science
  • SQL
  • big data querying languages
  • inferential methods / causal methods / A/B testing / statistical modeling techniques

Preferred

  • Snapchat
  • data modeling

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.

Responsibilities

  • 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 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
  • 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

Requirements

  • Ability to initiate and drive projects to completion with minimal guidance
  • 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
  • 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

Pay

USD 157,000 - 235,000