Very

Data Scientist

• Work with stakeholders (clients, sales, engineers & designers) to define Statements of Work (SoW)
• Communicate how Very can deliver value to the client
• Estimate quantity of work required to unlock this value for complex, multi-disciplinary projects
• Identify related assumptions, risks and dependencies
• Take ownership of the data science components and related systems to ensure project success
• Architect, build and deploy reliable end-to-end data and ML pipelines into production
• Ensure the highest level of testing across the full data pipeline and operating envelope
• Execute and document all algorithm verification testing for certification
• Build strong relationships with clients and understand their perspective
• Guide clients through the data science value chain
• Facilitate complex conversations to achieve alignment to drive positive outcomes
• Continue to expand and evolve the Data Solutions (DS) practice at Very
• Provide technical guidance to DS and non-DS team members
• Pairs with senior team members to develop their skills and deliver on projects
• Continually learn, share and refine your DS skills and knowledge
• Establish and enact DataOps and MLOps best practices
• Take on the responsibility of Technical Lead on complex multi-disciplinary projects
• Build reliable product roadmaps with technical implementation strategies
• Monitor and optimize the technical implementation and coordination of the project
• Identify and mitigate risks and seek assistance when required

Lead Data Scientist