Technical Lead governing AI data readiness and API gateways at Coupa, whose platform helps businesses optimize total spend. Defining safeguards for GenAI applications, data quality, compliance, and observability.
About the role
- Lead Data Scientist working with clients’ technical teams to enhance AI and analytics capabilities. Empowering internal teams through data pipelines, dashboards, and actionable KPIs.
Responsibilities
- Partner closely with our clients' executive and technical teams to guide decisions relating to AI, analytics, data engineering and data in general
- Proactively identify and champion projects that solve complex problems across multiple domains
- Apply specialized skills and fundamental data science methods (e.g. experimental design, recommender systems and machine learning when needed) to inform improvements to clients' businesses
- Design and implement end-to-end data pipelines: work closely with stakeholders to build models, tables or schemas that support business processes
- Empower teams both internal and external to build and maintain actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products
Requirements
- BS (or higher, e.g., MS, or PhD) in Computer Science, Engineering, Math, or Statistics
- 3-7 years of commercial experience as a data science lead solving high impact business problems, including 1+ years leading and maintaining high performance data science teams
- Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals
- Experience building data pipelines and driving ETL design decisions
- Experience delivering business impact through analysis and data products
- Technical leadership and management experience
- Experience creating data product strategies, shipping data products, iterating after launch
- Strong ability to prioritize and communicate to technical and non-technical audiences alike
- Working knowledge of Snowflake
- Devops experience a plus
Benefits
- Competitive compensation
- Work on cool projects based on your interests and skills
- Accountability and NOT micro-management
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