Eng, Data Scientist at Snap Inc.
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! Based at our headquarters in Los Angeles, CA you will be working closely alongside the Engineering, Product Design, and Product Management teams, to create inventive, data-based approaches to solving difficult business problems.
What you’ll do:
Partner with the Product and Engineering teams, and apply your expertise in quantitative analysis, data mining, and machine learning to create and scale insights
Create and test hypotheses
Build models and machine learning pipelines to understand how Snapchatters interact with ads on Snapchat
Help the Business and Engineering teams make decisions based on data
Bachelor's degree in a quantitative field AND +3 years of relevant technical work experience
OR Master/PhD in a quantitative field AND +2 years of relevant technical work experience
M.S. or PhD in Statistics or other quantitative field
3+ years of experience in machine learning
Experience with Spark
Experience with causal inference techniques, experimental design and/or A/B testing
Experience in ads measurement or ad tech preferred
An interest in translating technical results for cross-functional stakeholders across the organization
Fluency in SQL or other big data querying languages
Experience with programming languages such as Python or R
Ability to communicate analyses in a clear and effective manner to senior-level audiences
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. If you have a disability or special need that requires accommodation, please don’t be shy and contact us at [email protected].