Snap Inc.
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 three core products are Snapchat, Lens Studio, and Spectacles.
Overview The Data Science & Insights team seeks to leverage our massive data sets into actionable insights that deliver business value. We relay what the data says without bias, even when inconvenient or difficult, to improve decision-making quality and speed across the organization. We focus on efficient and effective analytic execution and position ourselves as go-to experts with deep knowledge and expertise, constantly striving for better, faster insights from data.
What you’ll do
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 cross-functional teams
Ability to initiate and drive projects to completion with minimal guidance
An understanding of Snapchat with strong product sense and product understanding
Minimum Qualifications
Bachelor's Degree in statistics, mathematics, economics, computer science, engineering or related field, or equivalent 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 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 languages 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
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 methodological research
Equal Opportunity and Benefits Snap is an equal opportunity employer and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, disability, medical condition, sex, gender, gender identity, pregnancy, childbirth and breastfeeding, age, sexual orientation, veteran status, or any other protected classification, in accordance with applicable laws. EOE including disability/vets. We will consider qualified applicants with criminal histories in a manner consistent with applicable law.
Our benefits include paid parental leave, comprehensive medical coverage, mental health support programs, and compensation packages that allow you to 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 is determined based on job-related skills, experience, qualifications, work location, and market conditions and may be negotiable within the salary range. These 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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Overview The Data Science & Insights team seeks to leverage our massive data sets into actionable insights that deliver business value. We relay what the data says without bias, even when inconvenient or difficult, to improve decision-making quality and speed across the organization. We focus on efficient and effective analytic execution and position ourselves as go-to experts with deep knowledge and expertise, constantly striving for better, faster insights from data.
What you’ll do
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 cross-functional teams
Ability to initiate and drive projects to completion with minimal guidance
An understanding of Snapchat with strong product sense and product understanding
Minimum Qualifications
Bachelor's Degree in statistics, mathematics, economics, computer science, engineering or related field, or equivalent 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 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 languages 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
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 methodological research
Equal Opportunity and Benefits Snap is an equal opportunity employer and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, disability, medical condition, sex, gender, gender identity, pregnancy, childbirth and breastfeeding, age, sexual orientation, veteran status, or any other protected classification, in accordance with applicable laws. EOE including disability/vets. We will consider qualified applicants with criminal histories in a manner consistent with applicable law.
Our benefits include paid parental leave, comprehensive medical coverage, mental health support programs, and compensation packages that allow you to 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 is determined based on job-related skills, experience, qualifications, work location, and market conditions and may be negotiable within the salary range. These 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.
#J-18808-Ljbffr