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 / SQL Shell scripting GitHub (version control) Teamcity or other (CI / CD tools) Monitoring tools such as Datadog Awareness of cloud computing environments (AWS) Required Abilities : Ability to work as part of a distributed and multidisciplinary team and develop and maintain relationships with internal and external stakeholders. Assist in the management of sprints and product backlog in an Agile environment. Focus of the team is automation, reliability, and quality of service for Data Science products. Desirable Skills : Application of advanced analytics, machine learning, artificial intelligence, and / or optimization algorithms. Understanding of data science fundamentals, methods, and techniques. Comfortable with the analytics and data science project life cycle : scoping, building, testing, implementation, maintenance, tracking, and quality assessment of analytics and models. #J-18808-Ljbffr