Snapchat
Overview
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’s core products are Snapchat, Lens Studio, and Spectacles.
About the Team The Data Science & Insights team seeks to leverage our 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.
Role We’re looking for a Data Scientist to join Snap Inc.
Responsibilities
Apply your 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
Knowledge, Skills & Abilities
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 your 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
Minimum Qualifications
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 & data science; OR a Master’s degree in a technical field + 2+ years of post-graduate professional experience; OR a Ph.D. in a relevant technical field
Preferred Qualifications
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
Accommodations If you have a disability or special need that requires accommodation, please provide us with information about your needs.
Policy "Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. We practice a “default together” approach and expect our team members to work in an office 4+ days per week.
Equal Opportunity 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 employment opportunities regardless of race, creed, color, national origin, disability, sex, gender identity, pregnancy, age, sexual orientation, or other protected classifications, in accordance with applicable laws. EOE, including disability/vets. We will consider qualified applicants with criminal histories in a manner consistent with applicable law.
Benefits Our Benefits : Snap Inc. is its own community, so we’ve got your back. Our benefits include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success.
Compensation In the United States, work locations are assigned a pay zone which determines the salary range for the position. The starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. The pay zones may be modified in the future.
Zone A (CA, WA, NYC) : The base salary range for this position is $157,000-$235,000 annually.
Zone B : The base salary range for this position is $149,000-$223,000 annually.
Zone C : The base salary range for this position is $133,000-$200,000 annually.
This position is eligible for equity in the form of RSUs.
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About the Team The Data Science & Insights team seeks to leverage our 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.
Role We’re looking for a Data Scientist to join Snap Inc.
Responsibilities
Apply your 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
Knowledge, Skills & Abilities
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 your 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
Minimum Qualifications
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 & data science; OR a Master’s degree in a technical field + 2+ years of post-graduate professional experience; OR a Ph.D. in a relevant technical field
Preferred Qualifications
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
Accommodations If you have a disability or special need that requires accommodation, please provide us with information about your needs.
Policy "Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. We practice a “default together” approach and expect our team members to work in an office 4+ days per week.
Equal Opportunity 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 employment opportunities regardless of race, creed, color, national origin, disability, sex, gender identity, pregnancy, age, sexual orientation, or other protected classifications, in accordance with applicable laws. EOE, including disability/vets. We will consider qualified applicants with criminal histories in a manner consistent with applicable law.
Benefits Our Benefits : Snap Inc. is its own community, so we’ve got your back. Our benefits include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success.
Compensation In the United States, work locations are assigned a pay zone which determines the salary range for the position. The starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. The pay zones may be modified in the future.
Zone A (CA, WA, NYC) : The base salary range for this position is $157,000-$235,000 annually.
Zone B : The base salary range for this position is $149,000-$223,000 annually.
Zone C : The base salary range for this position is $133,000-$200,000 annually.
This position is eligible for equity in the form of RSUs.
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