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 Scientist to join the Product team at Snap Inc.

What you’ll do

• Partner with other data scientists, product managers, product designers, engineers and apply your expertise in quantitative analysis, data mining, and statistical modeling to accomplish complex tasks and help drive product and business decisions

• Think creatively, proactively, and futuristically to identify and size up new opportunities within Snap's long term roadmap for data-scientific contributions

• Conduct machine learning or statistical analyses, and build pragmatic, scalable, and statistically rigorous solutions to deliver actionable insights, accurate predictions, and effective optimizations

• Communicate best practices in quantitative analysis and develop cross-functional partnerships

Knowledge, Skills & Abilities

• Strong statistical knowledge

• Ability to initiate and drive data science projects to completion with minimal guidance

• Ability to collaborate with engineers, product managers, and other cross-functional teams

• Excellent interpersonal skills, including verbal and written communication. Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner

• Demonstrated ability to present data science results and recommendations to business and technical clients

• An understanding of Snapchat with great product sense and product understanding

Minimum Qualifications:

• Advanced degree in a relevant field such as statistics or machine learning or equivalent years of experience

• 5+ years of experience in quantitative analysis, data science, or a related field

• Experience using machine learning and statistical analysis for building data-driven product solutions or performing methodological research.

Preferred Qualifications:

• Experience with deep learning, NLP, neural networks, Bayesian modeling, time series analysis (such as developing and maintaining forecasting models), social network analysis, or recommendation and ranking algorithms 

• Experience with causal inference techniques, experimental design and/or A/B testing with packages such as NumPy, SciPy, pandas, scikit-learn

• A strong passion for empirical research and for answering hard questions with data

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 accommodations-ext@snap.com.

Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid maternity & paternity leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!