Snap Inc.
Join Snap Inc. as a Senior Data Scientist, Level 5.
Snap Inc. is a technology company focused on empowering people to express themselves and live in the moment through products like Snapchat, Lens Studio, and Spectacles.
Overview The Data Science & Insights team leverages massive data sets to deliver actionable insights that improve decision‑making quality and speed across the organization. We are looking for a Senior Data Scientist to join the team.
What you’ll do
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.
Think creatively, proactively, 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 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.
Experience collaborating 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.
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+ year 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 language, 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.
Equal Opportunity Employer Snap Inc. is a proud 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 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 focused on empowering people to express themselves and live in the moment through products like Snapchat, Lens Studio, and Spectacles.
Overview The Data Science & Insights team leverages massive data sets to deliver actionable insights that improve decision‑making quality and speed across the organization. We are looking for a Senior Data Scientist to join the team.
What you’ll do
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.
Think creatively, proactively, 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 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.
Experience collaborating 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.
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+ year 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 language, 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.
Equal Opportunity Employer Snap Inc. is a proud 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 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