Lead Data Scientist

We 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

#J-18808-Ljbffr