Fetcherr

Team Lead

• Manage a team of data scientists and data engineers responsible for building robust, scalable, and high-performance data pipelines and infrastructure
• Design, build, and maintain distributed data processing workflows (batch & streaming)
• Drive best practices for data quality, validation, testing, and observability
• Own and evolve Fetcherr’s data architecture in alignment with business and product goals
• Manage sprint planning, task breakdown, code reviews, and performance feedback for the team
• Contribute hands-on to key development tasks and architecture decisions
• Recruit, mentor, and grow the data science engineering team
• Lead architecture decisions, development, and deployment of mission-critical systems
• Build and maintain decision-making infrastructure for real-time pricing, optimization, large-scale data pipelines, and machine learning products
• Generate price recommendations by processing customer data and market predictions through an optimization engine

Explore Algorithm Team Lead at Fetcherr. Review requirements and application details.

Algorithm Team Lead

• Manage a team of data scientists and data engineers responsible for building robust, scalable, and high-performance data pipelines and infrastructure
• Design, build, and maintain distributed data processing workflows (batch & streaming)
• Drive best practices for data quality, validation, testing, and observability
• Own and evolve Fetcherr’s data architecture in alignment with business and product goals
• Manage sprint planning, task breakdown, code reviews, and performance feedback for the team
• Contribute hands-on to key development tasks and architecture decisions
• Recruit, mentor, and grow the data science engineering team
• Lead architecture decisions, development, and deployment of mission-critical systems
• Build and scale data infrastructure powering real-time pricing, large-scale data pipelines, and machine learning products
• Generate price recommendations through optimization engines that account for competition, pricing constraints, inventory availability, predictive models, and client business policies