- Coordinate across multi-functional areas to generate, manage and implement new initiatives, track status, and identify critical issues and their resolution. - Partner with peers to build and prototype analytics and data pipelines that provide insights at scale. Evangelize adoption of standard methodologies and build greater awareness of common data analysis pitfalls.
Key Qualifications
8+ years of industry experience in a Data Science & Data Engineering role.
4+ years of experience managing a Data Science & Data Engineering team.
Experience navigating through sophisticated organizational structures and influencing business partners and collaborators in decision making.
Experience working in diverse multi-functional teams to get results and sharing a point of view and direction on analytics, data science, experimental design, and measurement.
Experience articulating and translating business questions to clearly defined problem statements and using data science techniques to answer those questions.
Experience and familiarity with common data science tools, such as Python/R and various data processing and machine learning libraries.
Experience producing powerful visualizations and dashboards that balance both art and science (using Tableau/D3, etc)
Education & Experience
Advanced degree (MS / MBA / PhD) in a quantitative field such as Data Science, Statistics, Operations Research, Engineering, Computer Science, Information Technology, Mathematics, Physics, Finance, Economics or a similar quantitative field.