Staff Data Scientist, Salesforce

• 8+ years of professional industry experience doing quantitative analysis
• A related technical degree required
• A consistent record of using data to drive product teams to achieve ambitious goals and influencing company-level outcomes
• Expert SQL and at least one general programming language (e.g. Python)
• Experience in schema design, data modeling, and building data pipelines
• Experience with a broad set of statistical and machine learning methods to build descriptive and predictive models
• Experience with designing and testing experiments
• Experience with data technologies that allow effective storage and analysis of large amounts of data (e.g. Spark, Presto, Hive, Hadoop, etc)

Desirable

• Applying data science methods to understanding the most important aspects of our AI product, users, and business
• Designing new datasets and metrics to be added to our data model
• Evangelizing evidence-based decision making by partnering with key decision makers and driving general accessibility of data and insights
• Identify and drive improvements to the execution of the full Research + Analytics team through standardization of process, authoring new standard methodologies, mentorship and cultivation of new expertise