Jobs at Yassir

The Data Scientist will analyze and model data for ML systems, focusing on Personalization and Recommendation Engines, and collaborate with teams to enhance data-driven solutions.

The Data Scientist will analyze data, optimize ML systems for pricing, propose ML opportunities, collaborate with teams, and support data-driven decisions.

The Senior Product Manager will oversee customer communication and execute product strategies, collaborating with various teams to enhance customer experience.

Design, train, validate, deploy and monitor ML models (pricing, dispatch, fraud, personalization). Perform EDA, feature engineering, statistical analysis, production-quality Python/SQL development, collaborate with product and engineering, and drive data quality, documentation, and knowledge sharing across the Data & AI domain.

Drive Android technical standards across the consumer domain: design and build features, lead architecture and roadmaps, mentor engineers, run reviews and interviews, and improve engineering tooling and processes.

Lead engineering teams, oversee project execution, improve product architecture, and cultivate technical culture within the organization.

The Staff Full-Stack Engineer will lead backend efforts, mentor junior developers, design features, conduct code reviews and improve engineering standards in a fast-paced startup environment.

Lead AI initiatives, craft product vision, manage lifecycle, utilize data for decisions, and foster collaboration across teams.

The Full Stack Engineer will design and develop web applications using Node.js and React, ensuring quality and performance while collaborating with teams to deliver features on schedule.

Lead and expand analytics capabilities at Yassir, overseeing a team to deliver insights for strategic decisions and operational excellence.

As a Backend Staff Engineer, you will lead technical standards, mentor junior engineers, conduct code reviews, and drive feature development in a fast-growing on-demand services environment.

Define product roadmap aligning with business goals, lead cross-functional teams, and drive data-driven decisions to improve user experience and product success.

The role involves building a centralized data lake on GCP, developing SPARK-powered data pipelines, ensuring data quality, and collaborating with cross-functional teams for advanced analytics and data models.