Snap Inc.
Data Scientist, Level 3 at Snap Inc.
Join to apply for the Data Scientist, Level 3 role at 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.
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 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.
1+ years of post‑Bachelor’s quantitative analysis & data science experience; or Master’s degree in a technical field.
Preferred Qualifications:
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.
Compensation In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s 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. These pay zones may be modified in the future.
Zone A (CA, WA, NYC): The base salary range for this position is $118,000-$176,000 annually.
Zone B: The base salary range for this position is $112,000-$167,000 annually.
Zone C: The base salary range for this position is $100,000-$150,000 annually.
This position is eligible for equity in the form of RSUs.
Seniority level
Entry level
Employment type
Full‑time
Job function
Engineering and Information Technology
Software Development
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.
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).
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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.
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 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.
1+ years of post‑Bachelor’s quantitative analysis & data science experience; or Master’s degree in a technical field.
Preferred Qualifications:
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.
Compensation In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s 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. These pay zones may be modified in the future.
Zone A (CA, WA, NYC): The base salary range for this position is $118,000-$176,000 annually.
Zone B: The base salary range for this position is $112,000-$167,000 annually.
Zone C: The base salary range for this position is $100,000-$150,000 annually.
This position is eligible for equity in the form of RSUs.
Seniority level
Entry level
Employment type
Full‑time
Job function
Engineering and Information Technology
Software Development
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.
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).
#J-18808-Ljbffr