Square:Data Scientist, Commerce Platform

Full Job Description

Partner with the product stakeholders to identify, prioritize, and answer the most important questions where analytics will have a material impact and produce actionable insights
Develop tools & resources to empower data access and self-service so your expertise can be leveraged where it is most impactful
Apply a diverse set of tactics such as statistics, quantitative reasoning, and machine learning; discerning where simple analytics solutions (e.g. a quick visualization) are preferable to complex solutions (e.g. machine learning).
Communicate analysis and decisions to high-level stakeholders in verbal, visual, and written media
Contribute to the data strategy of the platform and influence stakeholders to make well-informed architecture and design decisions that affect data at Square
Qualifications
You have:

3+ years of product-focused data science experience or equivalent
Fluency in SQL
Experience performing data analysis and machine learning using Python or R
Experience using statistics to inform decision making
Ability to understand complex business and data systems; versatility and willingness to learn new technologies on the job
Even better:

A degree (B.S., M.S., PhD.) in Mathematics, Statistics, Computer Science, Physical Sciences, Economics, or a related technical field
Experience with a BI tool such as Looker or Tableau
Experience with data warehouse design, development and best practices
Technologies we use and teach:

SQL (Snowflake)
Python (numpy, pandas, scikit-learn, etc.)
Machine Learning (e.g. regression, ensemble methods, neural networks, etc.)
Statistics (Bayesian methods, experimental design, causal inference)
Snowflake
Google Cloud Platform: BigQuery, Dataflow, and Composer
Airflow & Prefect for ETL
Looker, Amplitude, & Tableau for data visualization