Product Data Scientist - Engineering

Job Description

We’re looking for a Data Scientist to join Snap Inc! Working closely alongside the engineering, product design and product management teams, you will enjoy 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:

• Partner with Product and Engineering and apply your expertise in quantitative analysis to create and scale insights
• Create testable hypotheses, then test them
• Effectively report your insights via visualization and dashboards that you create
• Help business and engineering partners make decisions based on data

Minimum qualifications:

• Bachelor's 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:

• Strong statistical knowledge
• MA degree in math, statistics, computer science, or other quantitative field
• Experience in a product-focused role at a social media and/or mobile technology company
• 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
• 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
• Machine learning skills