97 Ofertas de Data Science en Argentina

• Argentina / Uruguay / Chile / Colombia / Mexico - Remote (any location)

Join Howdy to discover a new way of working remotely

At Howdy, we connect top Latin American talent with leading US companies. Unlike other online marketplaces and job platforms, we're a community that cares about people. Our whole ethos is people-first.

What's so different about us?

• We're driven by your well-being: We prioritize your growth and well-being with competitive pay, top-tier equipment, and premium healthcare.
• We're all about direct connections: Work directly with US companies as part of their teams, with no middleman. Build strong relationships and grow professionally.
• We combine the best of both worlds: Enjoy the freedom to work from home with flexible hours - and come to the office whenever you want!
• We care about career growth: Lead teams, apply for management roles, and even pitch to investors! Your growth is our priority.
• We foster a strong community: Get paid, of course. But also, be a part of a welcoming community. Avoid monotony, enjoy your work, and connect with other A-players!

From top tech roles to accounting, marketing, customer support, finance, HR, and operations - we've got opportunities for everyone.

Transform your career with Howdy. Apply today and join us in revolutionizing remote work!

• +4 years of experience as a Data Science
• +4 years of experience with Python
• +4 years of experience with SQL
• Experience with CI and CD
• Knowledge and experience in designing, developing, maintaining and deployment in Artificial Intelligence and Machine Learning

• Panda
• Airflow
• Kafka

Who you are:

• You are a motivated and self-directed Software Engineer or Data Science graduated who wants to deliver real business value
• You help your team and peers align to the company vision and mission
• You consistently leave code and projects better than you found them
• Offices in some cities
• Full-time schedule, flexible according to objectives

Manager, Data Science Apply Now Apply Later Job ID 10122660 Location Buenos Aires, Argentina Business The Walt Disney Company (LATAM) Date posted Jun. 27, 2025Job Summary:

BUILD SOMETHING BIGGER THAN YOURSELF

The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise with the following business segments: Disney Entertainment, ESPN, Disney Parks, and Experiences and Products. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.

How will you contribute to our magical experience?

The Manager, Data Science will join the team to lead a team focused on leveraging data and advanced analytics to drive strategic decision-making and enhance user experience.

This role should understand subscriber behavior, predict churn, and optimize various aspects of the subscriber lifecycle, framing business problems to identify appropriate analytics techniques.

The overall purpose is to provide actionable insights and build data solutions that drive business growth, improve customer retention, and optimize operational efficiencies.

The Manager, Data Science will be responsible for:

• Lead and mentor a team of data scientists to develop and implement models that predict subscriber behavior and preferences.
• Foster a collaborative environment that encourages innovation and continuous improvement.
• Build and operate a suite of propensity models to predict subscribers’ next moves, such as churn, upgrades, content consumption, and reacquisition.
• Partner closely with Subscriber Analytics, Finance, Business Operations, Product, and Engineering teams to develop models for various challenges.
• Provide actionable insights to help understand, for example, why users churn, which users are likely to upgrade, and how to increase the likelihood of content consumption.
• Oversee significant projects and tasks, ensuring they are completed on time and to a high standard.
• Manage project timelines, resources, and budgets to achieve desired outcomes.

What we need from you tobe part of this story:

• 5+ years of proven experience in data teams.
• Graduates in Mathematics, Actuarial Science, Statistics, Engineering, Economics, Finance, Accounting, or similar fields.
  Master’s/Postgraduate degree in Analytics or Data Science is a plus.
• Proficiency in programming languages (R, SQL, and Python).
• Expertise in data visualization tools such as Looker, Tableau, Power BI.
• Strong knowledge of Machine Learning and Deep Learning techniques. Ability to interpret quantitative information and communicate insights effectively to non-technical stakeholders.
• Demonstrated leadership and project management skills, including budget and resource management.
• Advanced level of English.

Additional Information:

At Disney, we believe it takes great people to create the memorable experiences, products and services our consumers know and love. We are a team of storytellers and hire under equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, disability and gender identity. We foster a corporate culture of belonging and inclusiveness, which empowers our staff and company to thrive. At Disney, everyone has the opportunity to speak up and participate, grow and share ideas.

“You can design and create, and build the most wonderful place in the world. But it takes people to make the dream a reality.” Walt Disney

The Walt Disney Company Latin America is the leading family entertainment company in Latin America and has been present in the region since the 1940’s when Walt Disney traveled to Brazil, Argentina and Peru with several artists. As a result of that journey, the Company’s sixth animated film “Saludos Amigos” premiered in Río de Janeiro in 1942.

The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.

This position is with TWDC Argentina S.A. , which is part of a business we call The Walt Disney Company (LATAM) .

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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.

This is the job

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.

This is you

• 5+ years of experience in Python and ML Ops.
• Experience working in a Flywheel-style system (continuous loop: data collection, model improvements, better results, new data, etc.)
• Problem solver, independent
• Experience with GCP ML tools (or other cloud/open-source tools for annotation, training, and MLOps)
• Experience with Vertex AI
• Experience with Dataflow / Airflow / Ray workflow
• Knowledge of GNN models and time-series models

This is your role

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

What awaits you at Avenga?

• Pleasant working environment within one of the largest software development companies in the EU.
• Opportunity to work independently and creatively, with room to implement your ideas and learn new skills.
• Influence your career direction within the company.
• High-quality hardware and software, access to the latest technologies, and engaging projects.
• Support for your professional development through various training courses.
• Benefits such as life insurance, pension contributions, language lessons, MultiSport card, sick days, meal allowance, company events, food and coffee, hybrid remote work, and more.

We take pride in our diverse team and welcome 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:

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

1 day ago Be among the first 25 applicants

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

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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.
• 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 5 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.
• 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. :)

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Desde C&S, estamos en búsqueda de un “Ingeniero de Data Science – Senior” para trabajar dentro de un importante cliente, y ser responsable de:

1. 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.
2. Obtener, procesar y analizar grandes volúmenes de datos provenientes de diversas fuentes y extraer insights de interés.
3. 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.
4. 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.
5. Interactuar con los equipos de ingeniería al momento de desplegar, monitorear y mantener los modelos en producción.

Requisitos:

1. Contar con 4 años de experiencia trabajando en proyectos de Machine Learning o Data Science.
2. Haber participado en la implementación de soluciones con Machine Learning en entornos productivos.
3. 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.
4. Residir en cualquier localidad cercana a: Buenos Aires, Córdoba, Mendoza, Santa Fe y San Luis.

Modalidad de trabajo:

• Hibrido / Remoto
• 9 a 18 hs.
• En relación de dependencia con C&S.

Beneficios:

• Revisiones salariales mínimas 4 veces al año.
• Licencia por paternidad extendida.
• Reintegro por gastos en guardería.
• Descuentos en universidades y cursos de idiomas.
• Plataforma de capacitación online totalmente gratuita con certificación internacional.
• Reintegro por gastos (luz e internet) en compensación en el recibo de sueldo.
• Regalo y día de cumpleaños libre.
• Entrega de equipo de trabajo.
• Cuponera de C&S con descuentos en gastronomía, indumentaria y cursos académicos con certificación internacional.
• Bono por candidato de referidos.
• Plan de obra social individual a través del redireccionamiento de aportes estipulado por ley, ya sea una obra social que vos tengas y quieras mantener, o una que te podamos brindar nosotros (Avaliant – 50% de descuento por 6 meses, OSDE, Hominint).