Square:Data Scientist, Commerce Platform

1 week ago


Snowflake, United States Hitalent Full time

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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