Queretaro, MexicoFull timeJROverviewAt Zebra, we are a community of innovators who come together to create new ways of working.
United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer's and partner's needs and solve their challenges.Being part of Zebra Nation means you are seen, heard, valued, and respected.
Drawing from our unique perspectives, we collaborate to deliver on our purpose.
Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve.You'll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about-locally and globally.Come make an impact every day at Zebra.What We're Looking ForOperates and monitors machinery and equipment used in manufacturing or production processes.
This role requires individuals to follow safety protocols, ensure quality standards are met, and maintain efficiency in operations.Essential Duties and ResponsibilitiesPerform packing, assembly, and operate machinery as per instructionsFollow work orders, labeling requirements, and productivity standardsConduct quality tests according to ISO proceduresAdhere to safety protocols and use personal protective equipment (PPE)Communicate basic job-related information and collaborate within the team / departmentBuild productive relationships and contribute to team successLearn and follow company policies, procedures, and processes under direct supervisionTrain team members when directed by supervisorsUphold and follow company values and standardsKey Skills and CompetenciesBasic computer skillsMust be at least 18 years oldStrong teamwork and collaboration skills with the ability to maintain productive working relationships in a team-oriented environmentOpen to receiving guidance, feedback, and constructive instructions from supervisors to ensure adherence to processes and standardsCapable of safely operating and handling light to medium machinery with a focus on precision and adherence to safety protocolsMinimum Education or EquivalentNo diploma required.
Basic math and reading / writing skills are neededMinimum Work ExperienceNo prior experience required.




Training will be providedWork Environment5 days in officeSafety Sensitive RoleYesTravelNonePersonal Protective Equipment (PPE)Safety glasses, steel-toed boots, ear plugs, gloves, etc.Must be able to see colorYesPhysical DemandsSedentary work that primarily involves sitting or standingLight work that includes moving objects up to 20 poundsPhysical ActivityAscending or descending ladders, stairs, scaffolding, ramps, poles and the like : OccasionallyWorking from heights such as roofs, ladders, or powered lifts: OccasionallyMoving self in different positions to accomplish tasks in various environments including awkward or tight and confined spaces: NeverRemaining in a stationary position, often standing, or sitting for prolonged periods of time: FrequentlyStooping, kneeling, bending, crouching, reaching, pushing, or pulling: FrequentlyMoving about to accomplish tasks or moving from one worksite to another: OccasionallyAdjusting or moving objects up to 40 pounds in all directions: OccasionallyCommunicating with others to exchange information: ConstantlyRepeating motions that may include the wrists, hands, or fingers: ConstantlyOperating machinery or power tools: OccasionallyOperating motor vehicles, industrial vehicles, or heavy equipment: OccasionallyAssessing the accuracy, neatness and thoroughness of the work assigned: OccasionallyEnvironmental ConditionsExposure to extreme temperatures (high or low): NeverOutdoor elements such as precipitation and wind: NeverNoisy environments: FrequentlyOther hazardous conditions such as vibrations, uneven ground surfaces or dust and fumes: NeverSmall or enclosed spaces: NeverNo adverse environmental conditions expected: NeverBenefitsWe understand the importance of work-life balance and wellbeing, which is why we offer flexibility for our teams including: hybrid work, adaptable hours, Summer Flex Fridays, Focus Fridays, and an annual companywide well-being day to promote revitalization and success.AI Technology StatementZebra Technologies leverages AI technology to evaluate job applications using objective, job-relevant criteria.




This approach enhances efficiency and promotes fairness in the hiring process.
However, every decision regarding interviews and hiring is made by our dedicated team, because we believe people make the best decisions about people.
For more on how we use technology in hiring and how we process applicant data, see our Zebra Privacy Policy.ZebraBetter Every DayAbout the RoleOur client, WhatJobs Direct, está reclutando de forma remota a estudiantes altamente motivados y con sólidas bases analíticas para nuestra posición de Prácticas Remotas en Ciencia de Datos y Machine Learning .
Esta es una ocasión única para aplicar teorías de estadística, matemáticas y computación en la resolución de problemas del mundo real utilizando grandes volúmenes de datos.
Trabajarás en el desarrollo de modelos predictivos, algoritmos de machine learning y visualizaciones impactantes bajo la supervisión de científicos de datos experimentados.
Buscamos individuos curiosos, con una mente inquisitiva y la capacidad de traducir hallazgos complejos en insights accionables.
Si te apasiona extraer conocimiento de los datos y construir sistemas inteligentes, esta práctica remota es tu puerta de entrada al mundo de la ciencia de datos.
Te ofrecemos un ambiente colaborativo y los recursos necesarios para que prosperes.Key ResponsibilitiesAsistir en la recopilación, limpieza y transformación de grandes conjuntos de datos.Colaborar en el desarrollo, entrenamiento y validación de modelos de Machine Learning.Realizar análisis exploratorio de datos (EDA) para identificar patrones y tendencias.Desarrollar visualizaciones de datos efectivas para comunicar resultados.Participar en la implementación de modelos en entornos de producción (con supervisión).
Investigar y aplicar nuevas técnicas y algoritmos de ciencia de datos y ML.Colaborar con equipos de producto e ingeniería para entender las necesidades de datos.Documentar código, procesos y hallazgos de manera clara y concisa.Mantenerse al día con la investigación y avances en el campo del Machine Learning.RequirementsCursando estudios universitarios avanzados (Maestría o Doctorado preferiblemente) o últimos años de Licenciatura en Estadística, Matemáticas, Informática, Física, Ingeniería o un campo cuantitativo#J-*****-Ljbffr

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