Snap Inc.
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Manager, Data Science, Content
role at
Snap Inc.
Snap Inc is a technology company dedicated to improving the way people live and communicate through its products: Snapchat, Lens Studio, and Spectacles.
The Data Science & Insights team leverages massive data sets to provide actionable insights that drive business value. We strive to improve decision‑making, deliver deeper customer understanding, and provide fast, high‑quality analytics to the organization.
What you’ll do
Lead and mentor a team of high‑performing Data Scientists focused on our content community, with the core mission of enhancing viewer experience, improving content ranking algorithms, and increasing content supply efficiency & quality.
Help build and manage a team of high-performing data scientists and help them execute along the most important priorities and deliver world‑class products.
Establish a positive, mutually supportive, inclusive and fun team environment where every employee can do their best.
Work cross‑functionally and partner with product managers, engineers, and researchers to solve problems, and conduct analytics studies to identify new product opportunities and shape product strategy.
Conduct in‑depth analysis of all data sources, asking the right questions, testing hypotheses, identifying patterns and providing the necessary business context to translate what it all means.
Lead the development & implementation of regular insights share‑outs that drive the consumer voice throughout the organization.
Deliver on data science & analytics roadmap including continuous improvement, accurate and timely reporting and measurement.
Provide strategic direction, project clarity, methodological consultation and deliver results both individually and through managing a high‑performing team.
Knowledge, Skills, Abilities
Understanding of statistical analysis, experience with packages such as R, MATLAB, Stata, etc.
Working knowledge of predictive modeling, machine learning, and experimentation/causal inference methods.
Expertise in the data workflow and pipeline and lead a team responsible for data capture, measurement, and optimization capability management.
Expertise in SQL and familiarity with Python.
Excellent communication skills, with high attention to detail.
Ability to initiate and drive projects to completion with minimal guidance.
Ability to balance practical business needs and scientific rigor.
Minimum Requirements
BS/BA degree in statistics, mathematics, economics, computer science, engineering or related field or equivalent years of experience.
7+ years of post‑Bachelor’s experience in quantitative analysis & data science or a related field; or a Master’s degree in a technical field + 6+ years of post‑grad experience; or a PhD in a relevant technical field + 3+ years of post‑grad experience.
3+ years experience in a leadership role within a data organization.
Preferred Qualifications
Advanced degree in a quantitative field (Economics, Computer Science, Physics).
Experience forming partnerships with cross‑functional leaders in engineering, product, design, research, etc.
Proven track record in transforming data into meaningful insights and opportunities to drive growth and performance.
Experience in a product‑focused role at a social media, online advertising, digital media and/or mobile technology company.
Our benefits include paid parental leave, comprehensive medical coverage, mental health support, and equity compensation.
Snap is proud to be an equal opportunity employer, 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.
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Manager, Data Science, Content
role at
Snap Inc.
Snap Inc is a technology company dedicated to improving the way people live and communicate through its products: Snapchat, Lens Studio, and Spectacles.
The Data Science & Insights team leverages massive data sets to provide actionable insights that drive business value. We strive to improve decision‑making, deliver deeper customer understanding, and provide fast, high‑quality analytics to the organization.
What you’ll do
Lead and mentor a team of high‑performing Data Scientists focused on our content community, with the core mission of enhancing viewer experience, improving content ranking algorithms, and increasing content supply efficiency & quality.
Help build and manage a team of high-performing data scientists and help them execute along the most important priorities and deliver world‑class products.
Establish a positive, mutually supportive, inclusive and fun team environment where every employee can do their best.
Work cross‑functionally and partner with product managers, engineers, and researchers to solve problems, and conduct analytics studies to identify new product opportunities and shape product strategy.
Conduct in‑depth analysis of all data sources, asking the right questions, testing hypotheses, identifying patterns and providing the necessary business context to translate what it all means.
Lead the development & implementation of regular insights share‑outs that drive the consumer voice throughout the organization.
Deliver on data science & analytics roadmap including continuous improvement, accurate and timely reporting and measurement.
Provide strategic direction, project clarity, methodological consultation and deliver results both individually and through managing a high‑performing team.
Knowledge, Skills, Abilities
Understanding of statistical analysis, experience with packages such as R, MATLAB, Stata, etc.
Working knowledge of predictive modeling, machine learning, and experimentation/causal inference methods.
Expertise in the data workflow and pipeline and lead a team responsible for data capture, measurement, and optimization capability management.
Expertise in SQL and familiarity with Python.
Excellent communication skills, with high attention to detail.
Ability to initiate and drive projects to completion with minimal guidance.
Ability to balance practical business needs and scientific rigor.
Minimum Requirements
BS/BA degree in statistics, mathematics, economics, computer science, engineering or related field or equivalent years of experience.
7+ years of post‑Bachelor’s experience in quantitative analysis & data science or a related field; or a Master’s degree in a technical field + 6+ years of post‑grad experience; or a PhD in a relevant technical field + 3+ years of post‑grad experience.
3+ years experience in a leadership role within a data organization.
Preferred Qualifications
Advanced degree in a quantitative field (Economics, Computer Science, Physics).
Experience forming partnerships with cross‑functional leaders in engineering, product, design, research, etc.
Proven track record in transforming data into meaningful insights and opportunities to drive growth and performance.
Experience in a product‑focused role at a social media, online advertising, digital media and/or mobile technology company.
Our benefits include paid parental leave, comprehensive medical coverage, mental health support, and equity compensation.
Snap is proud to be an equal opportunity employer, 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.
#J-18808-Ljbffr