Senior Data Scientist - AI & Product Analytics | Equity

SNAP, Inc.; Bellevue (WA); Hybrid; USD 118,000 - 176,000; Full time

Benefits offered by this job

Equity RSUs

Job summary

Snap Inc. is seeking a Data Scientist to join our Data Science and Insights team in driving data-driven decisions across our products.

You will apply quantitative analysis, data mining, and statistical modeling to deliver objective, actionable insights, collaborate with product managers, engineers, and designers, and leverage AI tools to build scalable data solutions with rigor and integrity.

Qualifications

• Bachelor's degree in statistics, mathematics, economics, computer science, engineering or related field or equivalent practical experience
• 1+ years of post-Bachelor’s quantitative analysis and data science experience; or Master’s degree in a technical field
• Proficiency with SQL or similar big data querying languages
• Proficiency with Python or R
• Experience with inferential methods, causal methods, A/B testing, or statistical modeling techniques
• Experience in a product-focused role at a social media/digital media company
• Experience using machine learning for data-driven product solutions

Responsibilities

• Apply quantitative analysis and statistical modeling to deliver actionable insights for business and product decisions
• Drive timely decisions to optimize product development and adoption
• Collaborate with product managers, engineers, marketers, and designers
• Utilize AI tools to develop scalable data solutions while maintaining accuracy and integrity

Skills

Data modeling

Metrics tracking

Data visualization

Cross-functional collaboration

AI tooling

Product understanding

AI adaptability

Education

Bachelor's degree in statistics/math/CS/engineering or equivalent

Master's degree in a technical field

Tools

SQL

Python

R

Job description

Snap Inc. is seeking a Data Scientist to join our Data Science and Insights team in driving data-driven decisions across our products.

You will apply quantitative analysis, data mining, and statistical modeling to deliver objective, actionable insights, collaborate with product managers, engineers, and designers, and leverage AI tools to build scalable data solutions with rigor and integrity.