Square:Data Scientist, Commerce Platform

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.

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