Mid Data Scientist

ResponsibilitiesEnsure AI is solving the right problemsUse the right approaches and drive measurable impactCollaborate with teams across finance, supply chain, R&D, and commercialRequirements3 years of experience & upDesign and implement end-to-end data pipelines (ingestion - transformation - quality - delivery)Contribute to app features with guidance from mid/senior teammatesPresent results and findings to your teamBuild and maintain data infrastructure components (streaming pipelines, transformations, APIs, catalogs)Implement robust data quality frameworks, monitoring, and alerting systemsOptimize data workflows for cost, performance, and reliabilityMentor junior team members on data engineering best practices and toolingHard Skillsdata pipelinesdata ingestiondata transformationdata qualitydata deliverystreaming pipelinesAPIsdata infrastructuredata workflowsdata engineeringSoft Skillscollaborationpresentationmentoring#J-*****-Ljbffr

3 years of experience & up Design and implement end-to-end data pipelines (ingestion - transformation - quality - delivery) Contribute to app features with guidance from mid/senior teammates Present results and findings to your team Build and maintain data infrastructure components (streaming pipelines, transformations, APIs, catalogs) Implement robust data quality frameworks, monitoring, and alerting systems Optimize data workflows for cost, performance, and reliability Mentor junior team members on data engineering best practices and tooling Hard Skills data pipelines data ingestion data transformation data quality data delivery streaming pipelines APIs data infrastructure data workflows data engineering Soft Skills collaboration presentation mentoring #J-*****-Ljbffr