Product Data Scientist - Engineering
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