Data Science Associate Manager

OverviewWe’re seeking a Data Science Manager to lead a high?performing team delivering scalable analytics and machine learning solutions.In this role, you will drive the technical vision, execution, and adoption of data science initiatives that support our global Strategy and Transformation agenda.You will partner closely with business and technology leaders to identify high?impact opportunities and foster a strong data?driven culture.Inscríbase rápido, consulte la descripción completa desplazándose hacia abajo para conocer todos los requisitos de este puesto.ResponsibilitiesLead, mentor, and grow a team of data scientists, providing technical guidance and career developmentOwn the end?to?end delivery of large?scale analytics and machine learning initiativesDefine standards and best practices for model development, data pipelines, and ML production workflowsOversee the design, deployment, monitoring, and optimization of machine learning systems in productionPartner with business stakeholders to translate strategic goals into data science roadmaps and measurable outcomesDrive adoption of modern techniques, including Generative AI, where they deliver clear business valueCommunicate technical concepts, progress, and impact effectively to business and technical audiencesQualificationsMaster’s Degree in Data Science, Computer Science, Statistics, or equivalent5+ years of experience in data science, with leadership or people?management responsibilityProven experience delivering machine learning solutions using diverse data sourcesStrong Python skills and ability to guide production?quality ML codeSolid understanding of software engineering, data engineering, xqbhyrx and MLOps best practicesExperience with deep learning frameworks (TensorFlow or PyTorch)Strong foundation in statistical and mathematical modelingExperience with cloud?based and distributed computing platformsExperience with Generative AI, including LLMs, prompt engineering, and RAG architecturesDiversity and InclusionWe encourage the diversity of applicants across gender, age, ethnicity, nationality, sexual orientation, social background, religion or belief and disability.#J-*****-Ljbffr

audiencesQualificationsMaster’s Degree in Data Science, Computer Science, Statistics, or equivalent5+ years of experience in data science, with leadership or people?management responsibilityProven experience delivering machine learning solutions using diverse data sourcesStrong Python skills and ability to guide production?quality ML codeSolid understanding of software engineering, data engineering, xqbhyrx and MLOps best practicesExperience with deep learning frameworks (TensorFlow or PyTorch)Strong foundation in statistical and mathematical modelingExperience with cloud?based and distributed computing platformsExperience with Generative AI, including LLMs, prompt engineering, and RAG architecturesDiversity and InclusionWe encourage the diversity of applicants across gender, age, ethnicity, nationality, sexual orientation, social background, religion or belief and disability. #J-*****-Ljbffr