Data Science Manager

Key Skills

Machine learning techniques, MATLAB Programming, R Programming, Experimentation, Predictive Modeling, Causal inference

Job Description

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.

The Product team uses creativity, insights, and operational excellence to steer our product vision across Snap Inc. This team of designers, scientists, and product managers work in a highly collaborative environment to build the products and experiences that bring our community together in new and special ways.

We’re looking for a Data Science Manager to join Team Snapchat! 

What you’ll do

• 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 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 and 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 verbal and written 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

• Bachelor’s degree in a quantitative field such as math, statistics, and computer science, or equivalent years of experience
• 5+ years of experience in data science doing quantitative analysis, and applied statistics or experimentation (i.e. A/B testing) at a technology company
• 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.

At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and 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. If you have a disability or special need that requires accommodation,