Qualifications
- Extensive commercial experience in a data science role solving high impact business problems
- Experience building and managing high performance data science teams
- Experience delivering business impact through analysis and data products
- Experience building data pipelines and driving ETL design decisions
- Experience with statistical methods like regression, GLMs or experiment design and analysis, shipping productionized machine learning systems or other advanced techniques are also welcome
- Technical leadership and management experience (you enjoy doing both). You can jump into the code to the level that your direct reports admire and respect, but are also interested in developing people and capacity for your team
- Experience creating data product strategies, shipping data products, iterating after launch, and trying again
- Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals
- Strong ability to prioritize and communicate to technical and non-technical audiences alike
It would be great if you have:
- Experience with financial reporting, accounting, or other formal financial processes
- Previous experience using Spark (either via Scala or PySpark)
- Experience with data storytelling using Tableau, QlikView, Mode, Matplotlib, D3, or similar data visualization tools
We hire people, not resumes. If you think you’re right for the role, apply now. Please submit your CV/Resume in PDF format.