Job DescriptionWe are looking for a Data Science Lead who will:
- Partner closely with our clients' executive and technical teams to guide their 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 our clients' businesses
- Design and implement end-to-end data pipelines: work closely with stakeholders to build models, tables or schemas that support our clients' business processes
- Empower teams both internal and external to build and maintain actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products
Qualifications- 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 where you can jump into the code to the level that your peers admire and respect, and are also interested in helping mentor your peers
- Experience creating data product strategies, shipping data products, iterating after launch, and trying again
- Strong ability to prioritize and communicate to technical and non-technical audiences alike
- Working knowledge of Snowflake
- Devops experiences a plus
Additional InformationWe have very competitive compensation.
Work on cool projects based on your interests and skills. We believe in accountability and NOT micro-management.
