Native

Data Scientist

• Own the Data: Command the full lifecycle of data pipelines — ingestion, cleaning, structuring, and analysis of large-scale, noisy, analog signals.
• Operationalize AI: Design, train, and deploy ML/AI models (including LLMs, predictive systems, and demand-forecasting models) into production environments.
• Execution at Velocity: Move from prototype to deployment with speed, reliability, and measurable accuracy.
• Model for Impact: Build systems that optimize quality control performance and decrease latency or deliver intelligence that drives customer growth with operational leverage.
• Domain Partnership: Work directly with Engineering, Product, and Commercial teams to ensure models translate into measurable outcomes, not academic outputs.
• Evolve the Platform: Advance the intelligence layer that makes the world’s largest commercial channel legible and actionable. Performance is assessed on one axis: the velocity, precision, and scale at which data science converts fragmented analog signals into decisive market intelligence.

Senior Data Scientist – Data Quality

Backend Engineer

• Architect, design, and develop high-quality software solutions for both frontend and backend aspects of our customer-facing products
• Collaborate with data science teams to productionize ML models and build full-stack ML-powered experiences for customers
• Implement software solutions by following best practices and design principles from both code and architecture design perspectives
• Own the technical direction of critical systems, ensuring scalability, reliability, and maintainability
• Support and mentor other engineers, helping them grow and advance in their career paths
• Conduct thorough and regular testing to uphold code quality
• Foster cross-team collaboration by closely working with Technical Leads throughout the organization to develop and implement resilient solutions.

Staff Software Engineer – Backend

Frontend Engineer

• Own end-to-end user journeys and collaborate closely with design, product, and backend teams to deliver polished, impactful experiences
• Build responsive and performant web applications
• Optimize applications for maximum speed and scalability
• Contribute to the evolution of the frontend architecture, ensuring scalability and maintainability across applications
• Partner with backend engineers to design and deliver cohesive, end-to-end solutions that are robust, scalable, and aligned across the stack
• Participate in code reviews, ensuring high standards of quality and maintainability
• Stay up-to-date with the latest frontend technologies and best practices

Senior Software Engineer, Frontend

• Shape the direction of key Computer Vision initiatives that transform the company’s methodology for collecting product insights from traditional trade stores.
• Translate evolving business needs into technical implementations by gathering requirements, defining OKRs, and aligning milestones with organizational goals.
• Drive the full lifecycle of data science solutions, from research and prototyping to modeling and performance evaluation, ensuring scalable deployment and measurable business impact, and working with Stakeholders to productionize the research results.
• Lead and mentor a cross-functional squad of engineers and scientists, fostering a high-performing, collaborative environment focused on technical excellence and continuous improvement.
• Communicate complex technical concepts, model performance, and project outcomes effectively to stakeholders, including non-technical audiences and executive leadership.

Staff Data Scientist, Researcher

Analytics Engineer

• Design, maintain and enhance data pipelines and models
• Design and implement efficient data models and transformation pipelines, primarily using Dataform (or similar tools)
• Maintain and update existing transformations to reflect business and product changes
• Monitor pipeline performance and optimize jobs for reliability and efficiency
• Maintain documentation and version control for pipeline changes
• Ensure data quality and reliability
• Design and implement data quality checks and automated testing for data transformations
• Develop and maintain monitoring systems and data quality metrics to detect and track data anomalies. Implement data validation rules and error handling
• Monitor and troubleshoot pipeline and scheduled job failures; implement corrective actions to ensure accuracy and operational continuity.
• Collaborate with stakeholders to resolve data issues and ensure alignment between data models and evolving business needs
• Perform regular updates and adjustments to product data models based on catalog changes and market dynamics.
• Continuously review and refine transformation processes to uphold data accuracy and operational standards.
• Translate research and requirements into recurring products
• Work with Product and Data Science teams to prototype new data products and capabilities based on your research and/or customer requirements.
• Translate ad hoc research and analysis into scalable, recurring data solutions that deliver long-term value.
• Support efforts to evolve and improve existing data products to better meet customer needs and drive adoption.

Senior Data Scientist – Data Quality

Staff Software Engineer – Backend

Senior Software Engineer, Frontend

Staff Data Scientist, Researcher

Senior Analytics Engineer