Senior Data Scientist optimizing retail operations and driving insights through machine learning. Collaborated with teams to innovate and implement analytical solutions within Walmart's global structure.
About the role
- Manager of Data Science optimizing ad ranking and auction dynamics at Snap Inc. Leading high-performing data science team for actionable insights and analytics in ads.
Responsibilities
- Lead a team of data scientists focused on optimizing ad ranking, auction dynamics, and marketplace efficiency to maximize advertiser value and Snapchatter experience
- 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
- Establishes a positive, mutually supporting, inclusive and fun team environment where every employee can do their best
- Work cross-functionally and partner with product managers, engineers, and researchers to to develop data-driven strategies that shape product direction
- 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
- Deliver on data science and analytics roadmap including continuous improvement, accurate and timely reporting and measurement
- Define and drive the data science roadmap for ad ranking, including model development, experimentation, actionable insights and measurement framework
- Build scalable methodologies for experimentation and causal inference to assess the impact of ranking changes and new product features
- Translate complex technical findings into actionable insights and strategic recommendations for leadership and cross-functional stakeholders
- Provide strategic direction, project clarity, methodological consultation and deliver results both individually and through managing a high performing team
Requirements
- Experience leading ads data science teams with an in-depth understanding of auction dynamics, pricing, ranking, pacing and ad load
- 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
- 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 quantitative analysis and data science experience; or a Master’s degree in a technical field + 6+ years of post-grad quantitative analysis and data science experience; or a PhD in a relevant technical field + 3+ years of post-grad quantitative analysis and data science experience
- 3+ years experience in a leadership role within a data organization
Benefits
- paid parental leave
- comprehensive medical coverage
- emotional and mental health support programs
- compensation packages that let you share in Snap’s long-term success
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