Data Analyst Lead

An Analytics Platform Lead is required to lead a team of highly motivated and capable Data Science Operations specialists to advance the platform and processes used to develop, deploy, monitor, track performance and quality, and update/maintain Data Science existing and new analytics and data science models. Working with the infrastructure platform team, the focus is on advancing automation, testing, quality control, observability, and proactive management of the Data Science portfolio.
Required Technical Skill Set: Python/R/SQLShell scriptingGitHub (version control)Teamcity or other CI/CD toolsMonitoring tools such as DatadogAwareness of cloud computing environments (AWS)Required Abilities: Work as part of a distributed and multidisciplinary teamDevelop and maintain relationships with internal and external stakeholdersAssist in the management of sprints and product backlog in an Agile environmentFocus: Automation, reliability, and quality of service for Data Science products.
Desirable Skills: Application of advanced analytics, machine learning, artificial intelligence, and/or optimization algorithmsUnderstanding of data science fundamentals, methods, and techniquesComfortable with analytics and data science project life cycle: scoping, building, testing, implementation, maintenance, tracking, and quality assessment of analytics and models #J-18808-Ljbffr