Lead Data Scientist

Key Skills

Data pipelines, Data science techniques, Design, ETL frameworks, KPIs, Machine learning techniques, Python Programming, Snowflake

Job Description

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