Applied Data Scientist
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.
Snapchat is the camera used by millions of people every day to Snap with family, watch Stories from friends, see events from around the world, and explore expertly curated content from top publishers. In short, we are a passionate team working hard to build the best platform in the world for communication and storytelling.
We’re looking for a Data Scientist to join Snap Inc! As a member of the Decision Science team, you will develop rigorous approaches and state-of-the-art methodologies for a large-scale online experimentation platform, apply engineering and analytical practices to solve challenging experimentation problems at petabyte scale, establish best practices for A/B testing experimentation across the entire company, and create industry-leading causal analysis platforms for insight into highly complex product interactions across a diverse customer base. Working from our Santa Monica, CA office, you will be collaborating with engineers, data scientists, product managers, and technical leaders across the company to build a world-class systems that meets our needs.
What You’ll Do
Create engineering and analytical practices to solve challenging problems with data analysis at-scale.
Collaborate with engineers to build methodologies into the online experimentation platform.
Exploratory analysis that influences longer-term thinking including understanding how teams interpret and analyze data and numeric results.
Partner closely with data scientists, engineers, and PMs to improve Snap’s causal analysis platforms.
Drive projects to completion with minimal guidance.
Minimum Qualifications
Bachelor's degree in a quantitative field, such as computer science, statistics, applied mathematics, or other related areas of study.
7+ years of experience in data science or another relevant field.
Experience programming in Python, R, or SQL.
Strong statistical knowledge.
Preferred Qualifications
Master or Ph.D degree in math, statistics, computer science, or other quantitative field.
Experience with causal inference techniques, econometrics, bayesian and/or frequentist hypothesis testing.
Experimentation design or A/B testing experience in online controlled experiments.
Strong applied statistics and mathematics skills: hypothesis testing, regression, classification, or optimization.
Experience on big-data environments, such as Hadoop, Spark, Pig, BigQuery or Hive.
Excellent verbal and written communication skills to convey technical concepts and their implications to non-experts with diverse backgrounds.
Strong understanding of data visualizations and information density.
Ability to thrive in a fast-paced, ever-changing work environment.
Critical thinking and strong problem-solving skills.
Highly self-motivated, with attention to detail and a passion for applying research.
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].