Data Scientist, Platform Integrity
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’re looking for a Data Scientist to join Snap Inc! Working closely alongside the Platform Integrity team, you will help achieve a safe and vibrant platform for our community and partners through creating inventive, data-based approaches to solving difficult business problems. Working from our Los Angeles, CA headquarters, you’ll work to transform business questions into data analysis.
What you’ll do:
Use your quantitative skill sets to present data in an organized way that goes beyond the numbers and articulates how Snapchat Users interact with our products
Set product goals, create testable hypotheses, design and evaluate experiments, monitor the health of our products and understand changes to our KPIs
Partner with Operations, Product, Design, Legal and Engineering to influence and inform our roadmap, strategy and product launches
Exploratory analysis that influence longer-term thinking including understanding how our products impact the broader ecosystem and user behavior trends
Design, build, and maintain reports, dashboards, and metrics to monitor execution related performance
Knowledge, Skills & Abilities
Excellent verbal and written communication skills, with high attention to detail
Strong statistical knowledge
Ability to initiate and drive projects to completion with minimal guidance
Ability to communicate the results of analyses in a clear and effective manner to a senior audience
Excellent problem-solving skills, and the ability to structure ambiguous business challenges into actionable plans
Minimum Qualifications:
BS/BA degree or equivalent years of experience in math, statistics, computer science, or other quantitative field
3+ years of experience in quantitative analysis & data science or a related field
Fluency in SQL or other big data querying language
Preferred Qualifications
Master or Ph.D degree in math, statistics, computer science, or other quantitative field
Experience with analytical packages such as SciPy or R
Experience with data pipeline workflow monitoring and scheduling platforms (e.g., Airflow)
Experience with a programming language, such as Python
Experience with causal inference techniques, experimental design and/or A/B testing
Background in Business, Operations, Marketing, Communications, or a related field
Passion for supporting the community of Snapchat, and understanding of what makes for a good user, business and platform experience
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, please don’t be shy and contact us at [email protected].