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About the Role

The Data Science and Insights team seeks to leverage our massive data sets into actionable insights that deliver business value. We aim to improve decision-making quality and speed across the organization to enable a deeper understanding of our customers and products. We are looking for a Data Scientist to join Snap Inc.

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 our products are created, executed, and adopted.
• Collaborate with product managers, engineers, product marketers, and designers.
• Utilize AI tools to more efficiently develop scalable data solutions, while maintaining rigorous standards for accuracy and statistical integrity.

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 product performance.
• Ability to create visuals, dashboards, and reports to effectively communicate insights.
• Ability to collaborate with engineers, product managers, and other cross-functional teams.
• Ability to initiate and drive projects to completion with minimal guidance.
• Understanding of Snapchat with great product sense and product understanding.
• 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.
• 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.
• 3+ years of Experience using SQL or similar big data querying languages.
• 3+ years of Experience with programming language, such as Python or R.
• 3+ 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.

Skills

• Quantitative analysis
• Data mining
• Statistical modeling
• Data modeling
• Product trend identification
• New product opportunity identification
• Core metrics design, implementation, and tracking
• Data visualization
• Dashboard creation
• Report creation
• Cross-functional collaboration
• Project initiation and completion
• Product sense
• Product understanding
• AI systems and tools
• SQL
• Python
• R
• Applied statistical techniques
• Inferential methods
• Causal methods
• A/B testing
• Statistical modeling techniques
• Machine learning

Location

• United States

Work Type

• Onsite (4+ days per week)

Experience Level

• 3+ years of post-Bachelor’s experience in quantitative analysis and data science
• Master’s degree in a technical field + 2+ years of post-graduate professional experience in quantitative analysis and data science
• Ph.D. in a relevant technical field
• 3+ years of Experience using SQL or similar big data querying languages
• 3+ years of Experience with programming language, such as Python or R
• 3+ years of experience with applied statistical techniques
• Experience in a product-focused role at a social media, online advertising, digital media and/or mobile technology company

Education Level

• 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
• Master's degree in a technical field
• Ph.D. in a relevant technical field
• Advanced degree in applied mathematics, statistics, actuarial science, economics or related field

Salary/Compensations

• Zone A (CA, WA, NYC): $157,000-$235,000 annually
• Zone B: $149,000-$223,000 annually
• Zone C: $133,000-$200,000 annually

Benefits

• Paid parental leave
• Comprehensive medical coverage
• Emotional and mental health support programs
• Compensation packages that let you share in Snap’s long-term success (RSUs)

About the Company

• Snap Inc. is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate.
• Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.
• The Company operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services.

Equal Opportunity

• We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).
• At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.