VP of Data Science & Analytics
Snap Inc. is a camera company. We believe that reinventing the camera represents our greatest opportunity to improve the way people live and communicate. Our products empower people to express themselves, live in the moment, learn about the world, and have fun together.
We are looking for a VP of Data Science & Analytics to join Snap Inc! In this role reporting to the VP of Product & Design, you will be responsible for leading an organizational effort toward better understanding user needs and pain points, and propose roles that data science can play to further this goal. Working from either Los Angeles or San Francisco, CA, you will build high performance, responsive teams of data scientists and analysts that are able to gather and synthesize data quickly and accurately.
What you’ll do:
Build high performance, responsive teams of data scientists, and analysts that are able to gather and synthesize data quickly and accurately
Support an organizational effort toward better understanding user needs and pain points, and propose roles that data science can play to further this goal
Support data-informed decision-making, throughout the Product Org and broader company
Develop an investment strategy to define, grow and maintain an exemplary data science organization
Constantly look for strategic ways to expand the charter of the Data Science team beyond causal inference, starting with Ranking Data Science, and Market-Place Dynamics
Ensure data best practices and play a critical role in building the data-informed culture throughout Snap
Be a thought leader and evangelist to drive adoption and knowledge at all levels of the organization
Determine how to leverage data science, machine learning, and other analytical techniques to offer actionable insights both internally & externally
Define and drive the strategy for investments, working closely with key business analytics leaders, and executive management
Participate heavily with Snap’s executive team, help set business strategy, represent product data science, initiate and debate key strategic topics and opportunities from your team’s work, and drive bold high-impact decisions
Collaborate with cross-functional partners in product, engineering, operations, finance, and marketing to define and build data-informed business strategy and roadmaps
Partner with data engineering team, technology architects and software developers to empower our lines of businesses with business intelligence
Provide timely turnarounds on data requests for “one-off” activities, such as acquisition, partnership analyses and new product initiatives
Provide technical leadership where suitable to support colleagues throughout Snap
Implement a leveling and performance management system for Data Science as a whole, across Snap
Knowledge, Skills & Abilities:
Have strong technical domain know-how to coach and grow the team
Have a strong builder mentality, can bring order to chaos, and know how to effectively “bring people along”
Bring positive influence on culture and value for Snap’s data practice
Are able to effectively challenge the status quo and plan insightful roadmaps
Experience in a complex, cross-functional organization where your teams need to collaborate and integrate with other teams across many disciplines
Passionate to innovate solutions, delight users, and inspire colleagues
Strong strategic business acumen, change management, and continuous improvement champion
Mentor and coach team on career paths
Strong interpersonal skills and ability to influence through creating fellowship
Experience in data-oriented due diligence within the context of M&A transactions
Excellent written and verbal communication skills
Embody Snap’s values
Minimum Qualifications:
BS/BA degree or equivalent years of experience
10+ years’ experience in algorithmic engineering, data science, or machine learning
5+ years of experience in managing, and mentoring data science, data engineering, and analytics teams in a high scale technology company
Preferred Qualifications:
15+ years’ experience in algorithmic engineering, data science, or machine learning
7+ years of experience in managing, and mentoring data science, data engineering, and analytics teams in a high scale technology company
Deep technical background with a MS or PhD in mathematics, statistics, computer science or a related field