Data Scientist
Develop new measurements, KPIs, and models to describe internet quality of service and experience. Collaborate with data engineers and product managers to transform methodologies into viable data products.
21 Data Scientist jobs in Argentina available for remote work from home. Apply for positions such as Data Scientist, Data Scientist, [8BE] Data Scientist (AI + ML) and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Develop new measurements, KPIs, and models to describe internet quality of service and experience. Collaborate with data engineers and product managers to transform methodologies into viable data products.
The role focuses on solving machine learning problems in NLP for enterprise clients and improving product suites. Primary duties include delivering production-ready code, building SQL queries for metrics, and prototyping data pipelines.
Design, validate, and productionize probabilistic AI and statistical machine learning models for an e-commerce platform. Collaborate with backend engineering to integrate these models into a distributed microservices architecture.
Design, validate, and productionize probabilistic models to support e-commerce decisioning under uncertainty. Collaborate with backend engineering to integrate these statistical models into a distributed microservices architecture.
Design, validate, and productionize probabilistic models to support e-commerce decisioning under uncertainty. Collaborate with backend engineering to integrate these statistical models into a distributed microservices architecture.
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Design, develop, and validate advanced time series forecasting models using Transformer-based architectures. Translate complex forecasting results into actionable business insights and marketing strategies.
Design and conduct statistical modeling, experimentation, and A/B testing to drive business insights and decision-making. Partner with stakeholders to translate business requirements into actionable analytical solutions and communicate findings clearly.
You will drive product and business impact by improving search engine ranking, precision, and relevance. This involves developing new lexical-matching signals and investigating LLMs for feature generation while maintaining high quantitative rigor.
Design, validate, and productionize probabilistic models to support decision-making under uncertainty for an e-commerce platform. Collaborate with backend engineering to integrate these statistical models into a distributed microservices architecture.
Lead the design, development, and delivery of end-to-end data science solutions while providing technical guidance to the team. Collaborate with business stakeholders and engineering teams to translate complex business challenges into scalable, data-driven machine learning models.
The Senior Data Scientist will develop and implement advanced machine learning models for risk scoring, threat intelligence, and vendor risk assessment. They will also collaborate with cross-functional teams to integrate these models into production systems and communicate findings to various stakeholders.
The Senior Data Scientist will drive statistical execution and algorithmic validation of Meridian MMM frameworks to provide multi-objective spend recommendations. They will also collaborate with cross-functional engineering teams to resolve pipeline requirements and perform data transformations.
Drive the technical roadmap by translating complex business requirements into scalable machine learning implementations. Take end-to-end ownership of the model lifecycle, from initial scoping to production deployment and maintenance.
The role involves developing and validating classification models to evaluate credit risk and assign credit scores. It also requires monitoring model performance and collaborating with cross-functional teams to turn data insights into business decisions.
Lead the design and implementation of advanced time series models and scalable machine learning solutions for risk management and fraud detection. Collaborate with cross-functional teams to translate complex data challenges into actionable business insights and strategic value streams.
Develop and optimize large language models and RAG pipelines to extract insights from insurance data. Deploy and manage these models using containerized workflows within the Azure cloud ecosystem.
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Deliver end-to-end data science projects from exploration and modeling to deployment and performance tracking. Collaborate with stakeholders to translate business opportunities into data-driven solutions and support presales activities.
The role involves working on an intelligent matching project between doctors and pharmaceutical products, requiring technical evolution towards Generative AI and LLMs. Responsibilities include developing and maintaining data pipelines and applying classical Machine Learning techniques.
The role involves translating complex business problems into clear, actionable analytical solutions across various industries like Oil & Gas, Retail, and Banking. The scientist will analyze data, generate actionable insights, and communicate findings effectively to non-technical audiences.
The role involves designing, building, and maintaining scalable data solutions using Python and SQL, while developing and integrating machine learning and computer vision models within Azure services. Responsibilities also include connecting to external systems via APIs and ensuring the production readiness and performance of data workflows.
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