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About the Role

The Data Science and Insights team at Snap Inc. seeks to leverage massive data sets into actionable insights that deliver business value. As truth seekers and truth tellers, we relay what the data says without bias, even when inconvenient or difficult. We aim to improve decision-making quality and speed across the organization to enable a deeper understanding of our customers and products. We focus on efficient and effective analytic execution, positioning ourselves as the go-to experts with deep knowledge and expertise, constantly striving for better, faster insights from data.

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 the performance of our products
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
An 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
1+ years of post-Bachelor’s quantitative analysis and data science experience; or Master’s degree in a technical field
1+ years of experience using SQL or similar big data querying languages
1+ years of experience with programming language, such as Python or R
1+ 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
SQL
Python
R
Applied statistical techniques
Inferential methods
Causal methods
A/B testing
Machine learning
Statistical analysis

Location

Zone A (CA, WA, NYC)
Zone B
Zone C

Work Type

Office 4+ days per week

Experience Level

1+ years of post-Bachelor’s quantitative analysis and data science experience
Master’s degree in a technical field
1+ years of experience using SQL or similar big data querying languages
1+ years of experience with programming language, such as Python or R
1+ 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
Advanced degree in applied mathematics, statistics, actuarial science, economics or related field

Salary/Compensations

Zone A (CA, WA, NYC): $118,000-$176,000 annually
Zone B: $112,000-$167,000 annually
Zone C: $100,000-$150,000 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

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

Snap is proud to be 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.
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).