19 publicaciones de empleo destacadas de data scientist en b (¡Están contratando!)

Senior Data Scientist
Vairix —Buenos Aires, Buenos Aires
2d
Data Intelligence Platform Engineer
Philip Morris International —Buenos Aires, Buenos Aires
- Tiempo completo
CRM Developer
Capgemini —Buenos Aires, Buenos Aires
Sr Revenue Management Analyst B2C
Despegar —Buenos Aires, Buenos Aires
- Tiempo completo
Postulación rápida
CRM Developer
Capgemini Sogeti —Buenos Aires, Buenos Aires
Software Engineer (Backend)
Disney Entertainment and ESPN Product & Technology —Buenos Aires, Buenos Aires
AI Engineer – Azure AI Foundry / LangGraph / RAG (Híbrido)
Talent Connect —Capital Federal, Buenos Aires
Sr Mainframe Automation Engineer
Capgemini Sogeti —Buenos Aires, Buenos Aires
Sr Mainframe Automation Engineer
Capgemini —Buenos Aires, Buenos Aires
Azure Databricks Engineer
Capgemini —Buenos Aires, Buenos Aires
Sr. Marketing Insights Analyst
Bunker db —Buenos Aires, Buenos Aires
- Tiempo completo
Staff Software Engineer
Capgemini —Buenos Aires, Buenos Aires
Staff Software Engineer
Capgemini Sogeti —Buenos Aires, Buenos Aires
Analyst - McKinsey Digital
McKinsey & Company —Buenos Aires, Buenos Aires
Ingenieros/as en Machine Learning
Lovelytics —Buenos Aires, Buenos Aires
Digital Sales & Marketing Senior Manager
BBVA —Retiro, Buenos Aires
- Tiempo completo
2d
Senior Machine Learning Engineer
GoFundMe —Capital Federal, Buenos Aires
Postulación rápida
Senior, Java Software Engineer
Disney Entertainment and ESPN Product & Technology —Buenos Aires, Buenos Aires
Senior Software Engineer, Windows/Desktop Applications - Buenos Aires, Argentina
Speechify —Capital Federal, Buenos Aires
9d

More jobs to discover

Find similar jobs that you might be interested in.

Data Intelligence Platform Engineer
Philip Morris International —Buenos Aires, Buenos Aires
Partner closely with data scientists and ML engineers to enable production model deployments. Maintain and improve the AWS SageMaker ML platform.
Principal Engineer, Data & Event Intelligence
Medallia —Buenos Aires, Buenos Aires
Influence platform strategy across AI, data, and infrastructure engineering. Partner with AI platform teams to integrate event intelligence into agentic and…

Quiero recibir la alerta de empleo más reciente para data scientist en b

Al ingresar a tu cuenta, aceptas las Condiciones del servicio de SimplyHired y das tu consentimiento a nuestra Política de privacidad y Cookies.

Explorar empleos en más ubicaciones

data scientist jobs near b

Empleos de Data Engineer en Buenos Aires, Buenos Aires

Empleos de Platform Engineer en Kraków, Małopolskie

Empleos de Performance Engineer en Buenos Aires, Buenos Aires

Empleos de Junior Developer en Buenos Aires, Buenos Aires

Empleos de Full Stack Developer en Desde Casa

Empleos de Full Stack Developer en Buenos Aires, Buenos Aires

Empleos de Data Engineer en Desde Casa

Empleos de Data Analyst en Desde Casa

Empleos de Software Engineer en Gba, Buenos Aires

Empleos de Jefe Control De Gestion en Buenos Aires, Buenos Aires

Empleos de Jefe De Producción en Provincia De San Luis

Empleos de Jefe A Administrativo A en Buenos Aires, Buenos Aires

Empleos de Software Team Lead en Remoto

Empleos de Software Developer, Junior en Rosario, Santa Fe

Empleos de Software Engineer en Benito Juárez, Buenos Aires

Empleos de Software Engineer en Córdoba, Córdoba

Empleos de Arquitecto A De Software en Wilde, Buenos Aires

Empleos de Senior Network Security Engineer en Buenos Aires, Buenos Aires

Empleos de Fullstack Developer en Remote

Empleos de Trainee, Developer en Canning, Buenos Aires

Senior Data Scientist

Vairix
Buenos Aires, Buenos Aires

Postulate ahora

Detalles del empleo

Hace 2 días

Descripción completa del empleo

About the Role

We are looking for a Senior Data Scientist to take ownership of a key part of our forecasting and marketing analytics capabilities.

The main challenge will be to evolve our current regression-based forecasting solution toward more advanced approaches, particularly Transformer-based architectures for time series forecasting.

This is not a role focused solely on implementing predefined models. We are looking for someone who can understand the business and data problem, define the modeling approach, experiment with alternatives, rigorously validate results, and ultimately help bring models into production.

You will have significant autonomy and technical ownership, working closely with the team while bringing your own judgment to modeling and architectural decisions.

What You'll Do

Design, develop, train, and validate advanced time series forecasting models.
Evaluate Transformer-based forecasting architectures, including Chronos-2, as well as alternatives such as TFT, PatchTST, Informer, or other relevant approaches.
Build and run experiments using Python, PyTorch, NumPy, Pandas, and Scikit-learn.
Train and validate models using AWS SageMaker.
Design rigorous validation strategies for time series, including:
- Temporal validation
- Backtesting
- Rolling and expanding training windows
- Leakage prevention
- Evaluation on future/unseen periods
Compare different models and architectures, going beyond metrics to understand and explain why one approach performs better than another.
Translate forecasting results into actionable business insights and marketing decisions.
Contribute to Marketing Mix Modeling (MMM), attribution, and budget optimization initiatives.
Analyze channel contribution, incremental impact, saturation effects, and different investment scenarios.
Apply statistical inference, optimization, and model interpretability techniques to turn predictive outputs into business recommendations.
Clearly communicate technical decisions, assumptions, results, and trade-offs to both technical and business stakeholders.

What We're Looking For

Strong experience in Machine Learning and Data Science, with a particular focus on time series and forecasting.
Hands-on experience building and validating forecasting models in real-world scenarios.
Strong understanding of time-series validation methodologies and the challenges associated with evaluating models on future data.
Strong proficiency in Python.
Experience with PyTorch and the scientific Python ecosystem, including NumPy, Pandas, and Scikit-learn.
Experience working with AWS SageMaker for model training and experimentation.
Solid background in statistics, statistical inference, optimization, and model interpretability.
Ability to independently approach open-ended problems, from data exploration and methodology selection to model validation and actionable conclusions.
Strong analytical judgment and the ability to justify modeling and architectural decisions.
Ability to connect technical results with business outcomes.

Nice to Have

Experience with Transformer architectures for time series forecasting, particularly Chronos-2.
Experience with other forecasting architectures such as Temporal Fusion Transformer (TFT), PatchTST, or Informer.
Knowledge of Bayesian Optimization or tools such as scikit-optimize.
Experience with Marketing Mix Modeling (MMM), marketing attribution, or causal modeling.
Understanding of concepts such as:
- Adstock
- Saturation curves
- Channel effects
- Incremental contribution
- Budget allocation and optimization
Experience with tools or frameworks such as Robyn, PyMC-Marketing, or LightweightMMM.

What Success Looks Like

You will be able to take a relatively open-ended data problem and drive it from initial exploration to a validated solution.

Success in this role is not just about achieving better model performance. It is about choosing the right methodology, validating it correctly, explaining why it works, and translating the results into decisions that create measurable business value.

We're looking for someone who combines strong technical expertise, rigorous experimentation, and business thinking — and who is comfortable taking ownership of complex modeling challenges.

Postulate ahora

Refiná tu búsqueda

data scientist empleos en b

Senior Data Scientist

Data Intelligence Platform Engineer

CRM Developer

Sr Revenue Management Analyst B2C

CRM Developer

Software Engineer (Backend)

AI Engineer – Azure AI Foundry / LangGraph / RAG (Híbrido)

Sr Mainframe Automation Engineer

Sr Mainframe Automation Engineer

Azure Databricks Engineer

Sr. Marketing Insights Analyst

Staff Software Engineer

Staff Software Engineer

Analyst - McKinsey Digital

Ingenieros/as en Machine Learning

Digital Sales & Marketing Senior Manager

Senior Machine Learning Engineer

Senior, Java Software Engineer

Senior Software Engineer, Windows/Desktop Applications - Buenos Aires, Argentina

More jobs to discover

Quiero recibir la alerta de empleo más reciente para data scientist en b

Related Searches

Explorar empleos en más ubicaciones

About the Role

What You'll Do

What We're Looking For

Nice to Have

What Success Looks Like

Herramientas para candidatos

Herramientas para empresas

Explorar

Mantente conectado