8 publicaciones de empleo destacadas de scientist, completions analytics en munro, b (¡Están contratando!)

Semi Senior Data Scientist
Monks —Capital Federal, Buenos Aires
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Xometry —Buenos Aires, Buenos Aires
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Semi Senior Data Scientist

Monks -
Capital Federal, Buenos Aires

Postulación rápida

Detalles del empleo

Hace 11 días

Descripción completa del empleo

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. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website (monks.com/careers).

Semi Senior Data Scientist

The Semi Senior Data Scientist will help develop solutions for digital marketing use cases using statistical, data mining methods and data engineering solutions, working closely with our Analytics and Solutions Engineering teams. The semi senior data scientist should be a data specialist with some experience in the deployment of propensity modeling, clustering analysis, churn analysis, product recommender systems and descriptive analytics. The candidate can expect to participate in all technical phases of internal research & development and client projects, including data discovery, data engineering, model development and/or data mining and evaluating options. It is also expected some participation in the organizational phases of projects such as project definition, tasks planning and estimation, making recommendations for the client.

Responsibilities

Nurture client understanding of the importance of building & testing data-driven strategies. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
Use statistical analysis and machine learning libraries (Python StatsModels, scikit-learn, etc.) to create models that quantify the influence of online activities on offline conversions.
Deploy cloud resources (GCP, Microsoft Azure, AWS, or other) to perform analysis on large data sets.
Create ML pipelines models from data-wrangling to getting it into production.
Utilize data visualization techniques to explain data and models to clients and internal teams (Power BI, Tableau, Looker, etc.).
Mine data to support analytical projects and prepare data to support the development of information models to prove or disprove project hypotheses.
Design and manage experiments to ensure proper execution, data cleanliness, and statistical significance of results.
Act as a consultative resource to help clients understand the quality of their internal testing processes.

Qualifications

Educational background in Computer Systems, Mathematics, Statistics or Physics
Proven experience articulating, translating, and solving business problems through data.
Work experience in cloud vendors (GCP, AWS, Azure).
2+ years of experience in data science (statistical modeling, machine learning for forecasting, classification and optimization)
Experience analyzing large data sets with the Python or R data ecosystem.
Experience using large databases (SQL, Snowflake, BigQuery or similar).
Experience using Power BI, Tableau, Looker, or similar.
Experience leveraging digital analytics (Google/Adobe Analytics) and measurement solutions data in the digital advertising industry.
Willingness to both teach others and learn new techniques.
Advanced English communication skills.

Preferred qualifications

A set of certifications or work experience in another cloud vendor (GCP, AWS, Azure).
Hands-on experience in model deployment, governance, and workflow optimization (MLOps).
Hands-on experience with cloud orchestration tooling, infrastructure-as-a-code.
Hands-on experience building scalable ETL pipelines (Apache Beam, Airflow, Cloud Composer, Cloud Functions, Pub/Sub).
Ability to explain the analytical methods and results to non-technical stakeholders to drive data-driven decision making.

#LI-Hybrid #LI-AS1

About Monks

Monks is the global, digital-first, data-driven, unitary operating brand of S4 Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global Marketing and Technology Services to redefine how brands interact with the world. Through Monks.Flow, its flagship AI ecosystem for marketing orchestration, Monks transforms marketing into a growth engine, collapsing timelines and connecting brands to culture in real time. By deploying bespoke intelligent agents across disciplines and delivering culturally relevant, high-impact creative and digital solutions, Monks solves key critical business challenges across the entire brand enterprise to help brands sustain long-term impact.

Monks was named a Contender in The Forrester Wave™: Global Marketing Services, ranks among Cannes Lions' Top 10 Creative Companies (2022-25) and remains the only partner featured in AdExchanger's Programmatic Power Players list every year (2020-24). Named Adweek's first AI Agency of the Year (2023) and The One Show's inaugural AI Pioneer Organization, Monks was also awarded Business Intelligence Group's 2025 Excellence in Artificial Intelligence Award in both the Organizational and AI Product categories. As a trusted partner to cutting-edge innovators in tech, Monks earned titles such as Optimizely Experimentation Partner of the Year (2025), runner-up for the Adobe Firefly Partner Award (2024), and Workato's AI Visionary Customer Impact Award (2024). Additionally, Monks achieved a record-breaking number of FWAs and continues to hold the most of any partner.

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.

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