Data Scientist
- Santa Monica, United States
- Mid Level
- 3+ years
- Bachelor's degree
- Posted
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
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