Snap
Snap Inc
is a technology company that empowers people to express themselves and live in the moment. The company’s three core products are Snapchat, Lens Studio, and its AR glasses Spectacles.
What you’ll do
Apply quantitative analysis, data mining, and statistical modeling to deliver actionable insights that enable informed business and product decisions.
Drive informed and timely decision‑making that improves how our products are created, executed, and adopted.
Collaborate with product managers, engineers, product marketers, and designers.
Think creatively and futuristically to identify and size up new opportunities within Snap’s long‑term roadmap for data‑scientific contributions.
Conduct machine learning or statistical analyses and build pragmatic, scalable, and statistically rigorous solutions to deliver actionable insights, accurate predictions, and effective optimizations.
Communicate best practices in quantitative analysis and develop cross‑functional partnerships.
Knowledge, Skills & Abilities
Expertise in data modeling 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.
Experience collaborating 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.
Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner.
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.
5+ years of post‑Bachelor’s quantitative analysis & data science experience; or a Master’s degree in a technical field + 4+ years of post‑grad quantitative analysis & data science experience; or a PhD in a related technical field + 1+ years of post‑grad quantitative analysis & data science experience.
Preferred Qualifications
5+ years of experience using SQL or similar big data querying languages.
5+ years of experience with programming languages such as Python or R.
5+ 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.
If you have a disability or special need that requires accommodation, please provide us information.
Snap Inc. is an equal opportunity employer and is 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, 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.
Compensation In the United States, the successful candidate’s starting pay will be determined based on job‑related skills, experience, qualifications, work location, and market conditions. The base salary range for this position is $190,000–$284,000 annually for Zone A, $181,000–$270,000 annually for Zone B, and $162,000–$241,000 annually for Zone C. This position is eligible for equity in the form of RSUs.
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is a technology company that empowers people to express themselves and live in the moment. The company’s three core products are Snapchat, Lens Studio, and its AR glasses Spectacles.
What you’ll do
Apply quantitative analysis, data mining, and statistical modeling to deliver actionable insights that enable informed business and product decisions.
Drive informed and timely decision‑making that improves how our products are created, executed, and adopted.
Collaborate with product managers, engineers, product marketers, and designers.
Think creatively and futuristically to identify and size up new opportunities within Snap’s long‑term roadmap for data‑scientific contributions.
Conduct machine learning or statistical analyses and build pragmatic, scalable, and statistically rigorous solutions to deliver actionable insights, accurate predictions, and effective optimizations.
Communicate best practices in quantitative analysis and develop cross‑functional partnerships.
Knowledge, Skills & Abilities
Expertise in data modeling 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.
Experience collaborating 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.
Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner.
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.
5+ years of post‑Bachelor’s quantitative analysis & data science experience; or a Master’s degree in a technical field + 4+ years of post‑grad quantitative analysis & data science experience; or a PhD in a related technical field + 1+ years of post‑grad quantitative analysis & data science experience.
Preferred Qualifications
5+ years of experience using SQL or similar big data querying languages.
5+ years of experience with programming languages such as Python or R.
5+ 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.
If you have a disability or special need that requires accommodation, please provide us information.
Snap Inc. is an equal opportunity employer and is 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, 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.
Compensation In the United States, the successful candidate’s starting pay will be determined based on job‑related skills, experience, qualifications, work location, and market conditions. The base salary range for this position is $190,000–$284,000 annually for Zone A, $181,000–$270,000 annually for Zone B, and $162,000–$241,000 annually for Zone C. This position is eligible for equity in the form of RSUs.
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