2.706 Ofertas de Data Science en Argentina

Overview

This is us At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and UI design, managed services, product development, and software development.

As a Data Science Engineer, you will play a key role in designing, developing, and scaling a cutting-edge GenAI platform that unifies validated AI initiatives within Avenga to enhance internal productivity.

• 5+ years of experience in Python and ML Ops.
• Worked in a Flywheel-style system (continuous loop, i.e. data collection, model improvements, better results, new data, etc.).
• Problem solver, independent.
• Experience with GCP ML tools (can be experienced with another Cloud or open-source alternative tools for annotation, training and MLOps if the person is strong and quickly picks up new technologies).
• Experience with Vertex AI.
• Experience with Dataflow / Airflow / Ray workflow.
• Knowledge of GNN models and time-series models.

• Become a vital part of the team in Data Science.
• Set up data evaluations and pretraining evaluations, perform model grading, versioning and analyze biases.
• Have touch points with the TL a few times a week.

• Pleasant working environment and stable background in one of the largest software development companies in the EU.
• Space to work independently and creatively with the possibility to implement your own ideas and opportunities to learn new things and approaches.
• You have the opportunity to influence your direction in the company.
• High quality hardware and software, access to the latest technologies and specific project.
• At Avenga, you'll get quality support in your development thanks to a wide range of internal and external training courses, so you can push the boundaries of your competence.
• We offer you benefits such as life insurance and pension contribution, EN/DE/ES lessons, MultiSport card, sick days, meal allowance, lots of company events, food and coffee, hybrid remote work after mutual agreement, and more.

We take pride in our teams' diverse skills and character, welcoming everyone to apply and contribute to our collective strength.

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it , our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage an d passion to drive life-changing impact to ZS.

Our most valuable asset is our people .

At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and

make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about.

Insights and Analytics

Advanced Data Science Consultant

ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership.

What You’ll Do (previously referenced as Responsibilities)

• Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality.
• Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information.
• Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate
• Contribute to the assessment of emerging datasets and technologies that impact our analytical platform.
• Engage in the development of specific assets/accelerators that foster scalability.
• Contribute to advancing thought leadership through research support and publication assistance.
• Provide guidance and mentorship to Associate team members.

What You’ll Bring

• A PhD Degree in Computer Science, Statistics, or a relevant field or a Master’s degree with 5 or more years of relevant post-collegiate work experience;
• A robust academic performance with coursework emphasizing analysis and quantitative skills.
• A knowledge of big data, advanced analytical concepts, and algorithms (e.g., text mining, social listening, recommender systems, predictive modeling, etc.).
• A proficiency in at least one programming language (e.g., Java/Python/R).
• Experience with tools/platforms such as the Hadoop eco system, Amazon Web Services or database systems.
• A proficiency in agile project planning and project management techniques.
• Experience in client interaction, crafting project proposals, and leading teams.
• Fluency in English.

Additional Skills:

• Relevant domain knowledge encompassing areas such as healthcare, transportation, technology, insurance, or related expertise/experience.

Perks & Benefits:

ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member.

We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.

Travel:

Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.

Considering applying?

At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above.

ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.

To Complete Your Application:

Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.

NO AGENCY CALLS, PLEASE.

Find Out More At:

En Mercado Libre estamos democratizando el comercio y los servicios financieros para transformar la vida de las personas de América Latina. Sumate a este propósito

Nuestras unidades de negocio –Marketplace, Mercado Pago, Mercado Créditos, Mercado Shops, Mercado Envíos, Marketplace Vis y Mercado Ads– requieren de personas talentosas para crear estrategias comerciales y de marketing que sigan potenciando nuestro ecosistema de negocios en todo Latinoamérica Sumate a este desafío

Tenemos un desafío para quienes:

• Vibran energía emprendedora: se mueven por la curiosidad, nunca se rinden y se enfocan en superar sus propios límites.
• Dan el máximo porque les gusta trabajar con compromiso y dedicación.
• Viven los cambios como oportunidades y aprenden de sus errores.
• La excelencia y la ejecución son claves en su forma de hacer las cosas.
• Promueven el buen clima, aportan alegría y diversión.
• Saben cómo construir con otras personas y disfrutan trabajando en equipo.

Imaginate emprendiendo proyectos desafiantes, dinámicos e innovadores
y siendo responsable de:

• Liderar la caracterización y traducción de problemas de Marketing, como problemas de clasificación, recomendación, personalización, lifetime value, en soluciones de analítica avanzada y modelos de machine learning.
• Llevar adelante el diseño, el desarrollo punta a punta y la medición de soluciones a problemas de Marketing, priorizando tareas, dimensionando tiempos de desarrollo y anticipándose a posibles contratiempos.
• Investigar las prácticas y tecnologías que están llevando adelante los mejores jugadores del sector, con el objetivo de mantener la operación a la vanguardia.
• Sostener una relación sólida y colaborativa con las partes interesadas en roles locales y corporativos de la región.
• Dirigir los proyectos de data science de cuatro analistas, asegurando la minimización de errores y reprocesos, así como la verificación de calidad de los resultados de los modelos generados. Garantizar la entrega oportuna de modelos dentro de los plazos establecidos.

Requisitos:

• Ser profesional de carreras de Ingeniería Industrial, Estadística, Economía o Matemáticas. Contar con Maestría en Economía, Actuaria, Analitica, Ciencia de Datos o Estadística
• Contar con experiencia mayor a 6 años liderando proyectos relevantes de ciencia de datos.
• Tener dominio del análisis de datos a través de lenguajes como SQL y Python y manejar herramientas de visualización como Tableau o Looker.
• Contar con experiencia en data engineering, es deseable.

Te proponemos:

• Ser parte de una compañía con espíritu emprendedor en la que nos encanta pensar en grande y a largo plazo.
• Ser protagonista de tu desarrollo en un ambiente de oportunidades, aprendizaje, crecimiento, expansión y proyectos desafiantes.
• Compartir y aprender en equipo junto a grandes profesionales y especialistas.
• Un excelente clima de trabajo, con todo lo necesario para que vivas una gran experiencia. :)

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it , our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage an d passion to drive life-changing impact to ZS.

Our most valuable asset is our people .

At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and

make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about.

Insights and Analytics

Advanced Data Science Consultant

ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership.

What You’ll Do (previously referenced as Responsibilities)

• Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality.
• Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information.
• Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate
• Contribute to the assessment of emerging datasets and technologies that impact our analytical platform.
• Engage in the development of specific assets/accelerators that foster scalability.
• Contribute to advancing thought leadership through research support and publication assistance.
• Provide guidance and mentorship to Associate team members.

What You’ll Bring

• A PhD Degree in Computer Science, Statistics, or a relevant field or a Master’s degree with 5 or more years of relevant post-collegiate work experience;
• A robust academic performance with coursework emphasizing analysis and quantitative skills.
• A knowledge of big data, advanced analytical concepts, and algorithms (e.g., text mining, social listening, recommender systems, predictive modeling, etc.).
• A proficiency in at least one programming language (e.g., Java/Python/R).
• Experience with tools/platforms such as the Hadoop eco system, Amazon Web Services or database systems.
• A proficiency in agile project planning and project management techniques.
• Experience in client interaction, crafting project proposals, and leading teams.
• Fluency in English.

Additional Skills:

• Relevant domain knowledge encompassing areas such as healthcare, transportation, technology, insurance, or related expertise/experience.

Perks & Benefits:

ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member.

We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.

Travel:

Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.

Considering applying?

At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above.

ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.

To Complete Your Application:

Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.

NO AGENCY CALLS, PLEASE.

Find Out More At:

As our team continues to expand its Global Enterprise Analytics capabilities, we are looking for a Data Engineer with a strong analytical background to help us scale. This is a hybrid role, combining data engineering expertise with analytics and data science responsibilities.

In this position, you will be responsible for a variety of projects, from developing and maintaining robust data pipelines to creating data-driven models. You'll also play a key role in supporting junior team members with a variety of tasks, including developing measurement frameworks, building dashboards, and performing audience segmentation. This role involves both internal and external responsibilities, working with clients, partners, and our internal growth teams.

• Education: A Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or a related quantitative field. Equivalent work experience is also accepted.
• Experience: 3+ years of experience in Data Engineering, Analytics, or a similar role.
• Technical Skills:
  • Strong programming skills in Python and R.
  • Proficiency in SQL and experience with various database types (SQL and NoSQL).
  • Hands-on experience with ETL tools like Google BigQuery, Funnel.io, or Tableau Prep.
  • Knowledge of Business Intelligence tools (Tableau, Looker, Google Looker Studio, Power BI, etc.).
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
  • Familiarity with DataOps and agile methodologies is a plus.

• Data Engineering: Build, implement, and maintain complex data pipelines and systems to process large volumes of data.
• Data Modeling and Analysis: Design and develop predictive models and algorithms to solve complex business problems.
• Collaboration: Work with cross-functional teams to gather requirements, identify data sources, and ensure data quality and integrity.
• Solutions Architecture: Architect scalable, reliable, and secure data solutions that meet business needs.
• Data Governance: Help design and implement data governance policies to ensure data accuracy, consistency, and security.
• Reporting & Visualization: Create compelling visualizations and reports to communicate insights and findings to stakeholders.
• Mentorship: Support and mentor junior analysts, helping them develop skills in measurement frameworks, dashboard creation, and data visualization.

We are a collaborative organization, and our Data Engineers work closely with teams across data, media, strategy, and consulting to deliver high-quality client projects. We believe that working across teams fosters stronger collaboration and a deeper understanding of the broader business and media ecosystems.

• Demonstrated ability to operate effectively both independently and in a team environment.
• Advanced level of English is essential, as you will be working closely with teams in the US.

Monks is the global, purely digital, unitary operating brand of S4Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global marketing and technology services to accelerate business possibilities and redefine how brands and businesses interact with the world. Its integration of systems and workflows delivers unfettered content production, scaled experiences, enterprise-grade technology and data science fueled by AI—managed by the industry s best and most diverse digital talent—to help the world7s trailblazing companies outmaneuver and outpace their competition.

Monks was named a Contender in The Forrester Wave: Global Marketing Services. It has remained a constant presence on Adweek7s Fastest Growing lists ), ranks among Cannes Lions' Top 10 Creative Companies ) and is the only partner to have been placed in AdExchanger 27s Programmatic Power Players list every year ). In addition to being named Adweek7s first AI Agency of the Year (2023), Monks has been recognized by Business Intelligence in its 2024 Excellence in Artificial Intelligence Awards program in three categories: the Individual category, Organizational Winner in AI Strategic Planning and AI Product for its service Monks.Flow. Monks has also garnered the title of Webby Production Company of the Year ), won a record number of FWAs and has earned a spot on Newsweek 27s Top 100 Global Most Loved Workplaces 2023.

We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents—and resonates with—the world around us.

Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process.

As our team continues to expand its Global Enterprise Analytics capabilities, we are looking for a Data Engineer with a strong analytical background to help us scale. This is a hybrid role, combining data engineering expertise with analytics and data science responsibilities.

In this position, you will be responsible for a variety of projects, from developing and maintaining robust data pipelines to creating data-driven models. You'll also play a key role in supporting junior team members with a variety of tasks, including developing measurement frameworks, building dashboards, and performing audience segmentation. This role involves both internal and external responsibilities, working with clients, partners, and our internal growth teams.

Education: A Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field. Equivalent work experience is also accepted.

Experience: 3+ years of experience in Data Engineering, Analytics, or a similar role.

Technical Skills:

• Python and R programming skills.
• Proficiency in SQL and experience with various database types (SQL and NoSQL ).
• Hands-on experience with ETL tools like Google BigQuery, Funnel.io, or Tableau Prep.
• Knowledge of Business Intelligence tools (Tableau, Looker, Google Looker Studio, Power BI, etc.).
• Experience with cloud platforms such as AWS , Azure , or Google Cloud Platform (GCP) .
• Familiarity with DataOps and agile methodologies is a plus.

• Data Engineering: Build, implement, and maintain complex data pipelines and systems to process large volumes of data.
• Data Modeling and Analysis: Design and develop predictive models and algorithms to solve complex business problems.
• Collaboration: Work with cross-functional teams to gather requirements, identify data sources, and ensure data quality and integrity.
• Solutions Architecture: Architect scalable, reliable, and secure data solutions that meet business needs.
• Data Governance: Help design and implement data governance policies to ensure data accuracy, consistency, and security.
• Reporting & Visualization: Create compelling visualizations and reports to communicate insights and findings to stakeholders.
• Mentorship: Support and mentor junior analysts, helping them develop skills in measurement frameworks, dashboard creation, and data visualization.

We are a collaborative organization, and our Data Engineers work closely with teams across data, media, strategy, and consulting to deliver high-quality client projects. We believe that working across teams fosters stronger collaboration and a deeper understanding of the broader business and media ecosystems.

Demonstrated ability to operate effectively both independently and in a team environment.

Advanced level of English is essential, as you will be working closely with teams in the US.

Monks is an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects.

Monks does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

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Join to apply for the Advanced Data Science Consultant role at ZS

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage and passion to drive life-changing impact to ZS.

Our most valuable asset is our people .

At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and

make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about.

Insights and Analytics

Advanced Data Science Consultant

ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership.

What You’ll Do (previously Referenced As Responsibilities)

• Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality.
• Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information.
• Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate
• Contribute to the assessment of emerging datasets and technologies that impact our analytical platform.
• Engage in the development of specific assets/accelerators that foster scalability.
• Contribute to advancing thought leadership through research support and publication assistance.
• Provide guidance and mentorship to Associate team members.
  
  

• A PhD Degree in Computer Science, Statistics, or a relevant field or a Master’s degree with 5 or more years of relevant post-collegiate work experience;
• A robust academic performance with coursework emphasizing analysis and quantitative skills.
• A knowledge of big data, advanced analytical concepts, and algorithms (e.g., text mining, social listening, recommender systems, predictive modeling, etc.).
• A proficiency in at least one programming language (e.g., Java/Python/R).
• Experience with tools/platforms such as the Hadoop eco system, Amazon Web Services or database systems.
• A proficiency in agile project planning and project management techniques.
• Experience in client interaction, crafting project proposals, and leading teams.
• Fluency in English.
  
  

• Relevant domain knowledge encompassing areas such as healthcare, transportation, technology, insurance, or related expertise/experience.
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries Business Consulting and Services

Referrals increase your chances of interviewing at ZS by 2x

Get notified about new Data Consultant jobs in Buenos Aires, Buenos Aires Province, Argentina .

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Overview

ZS is a management consulting and technology firm focused on improving life and how we live it. Our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage and passion to drive life-changing impact to ZS.

Our most valuable asset is our people .

At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about.

• Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality.
• Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information.
• Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate.
• Contribute to the assessment of emerging datasets and technologies that impact our analytical platform.

• A master’s degree in computer science, Statistics, or a relevant field.
• A robust academic performance history with coursework emphasizing analysis and quantitative skills.
• Knowledge of big data, advanced analytical concepts, and algorithms (e.g., text mining, social listening, recommender systems, predictive modeling).
• Proficiency in at least one programming language (e.g., Java/Python/R).
• Experience with tools/platforms such as the Hadoop ecosystem, Amazon Web Services or database systems.
• Fluency in English.

ZS is committed to a Flexible and Connected way of working. ZSers are on-site at clients or ZS offices three days a week. Combined flexibility to work remotely two days a week is also available. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.

ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member.

We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.

Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.

At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems—the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.

If you’re eager to grow, contribute, and bring your unique self to our work, we encourage you to apply.

ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.

To complete your application:

Candidates must possess or be able to obtain work authorization for their intended country of employment. An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.

NO AGENCY CALLS, PLEASE.

Find Out More At:

Referrals increase your chances of interviewing at ZS by 2x

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

En Mercado Libre estamos democratizando el comercio y los servicios financieros para transformar la vida de las personas de América Latina. Sumate a este propósito

Imagínate emprendiendo proyectos desafiantes, dinámicos e innovadores
y siendo responsable de:

• Crear, desarrollar e implementar soluciones nuevas y escalables para problemáticas transversales a la organización, con base en técnicas de estadística, Data Science y Machine Learning.
• Obtener, procesar y analizar grandes volúmenes de datos provenientes de diversas fuentes y extraer insights de interés.
• Diseñar, entrenar y evaluar modelos de Machine Learning capaces de adaptarse a entornos productivos complejos y establecer las mejores prácticas de desarrollo de software, a fin de asegurar procesos eficientes y automatizados.
• Participar de reuniones con diferentes stakeholders, interpretar los requerimientos y proveer herramientas de visualización que simplifiquen la comunicación con interlocutores, tanto técnicos como de negocio.
• Interactuar con los equipos de ingeniería al momento de desplegar, monitorear y mantener los modelos en producción.

Requisitos:

• Contar con 5 años de experiencia trabajando en proyectos de Machine Learning o Data Science.
• Haber participado en la implementación de soluciones con Machine Learning en entornos productivos.
• Poseer conocimientos en tecnologías vinculadas a Machine Learning; librerías del stack, como Python, Numpy, Pandas, Scikit-Learn, Matplotlib; frameworks de Deep Learning, como TensorFlow, Keras, PyTorch, y bases de datos relacionales y distribuidos, como Redshift, Teradata, Hive, Presto y BigQuery, entre otros.
• Residir en cualquier localidad cercana a nuestros sites de Buenos Aires o Córdoba.

Tecnología es la esencia de nuestro producto. Nuestros equipos de desarrollo, arquitectura, base de datos, user experience, seguridad informática y data & analytics co-crean y son responsables de la plataforma líder de e-commerce de América Latina y de uno de los sitios de mayor tráfico en todo el mundo. En una industria que se reinventa día a día, nuestros equipos son reconocidos por su visión y liderazgo. Desde aplicaciones móviles a machine learning, nuestra innovación tiene un claro foco: simplificarle la vida a quien utiliza nuestros produtos.

Te proponemos:

• Ser parte de una compañía con espíritu emprendedor en la que nos encanta pensar en grande y a largo plazo.
• Ser protagonista de tu desarrollo en un ambiente de oportunidades, aprendizaje, crecimiento, expansión y proyectos desafiantes.
• Compartir y aprender en equipo junto a grandes profesionales y especialistas.
• Un excelente clima de trabajo, con todo lo necesario para que vivas una gran experiencia. :)