AI Data Scientist

Job not on LinkedIn

🕒 July 1

🇦🇷 Argentina – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 30%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Airtm

WebsiteLinkedInAll Job Openings

51 - 200 employees

💳 Fintech

🏦 Banking

🛍️ eCommerce

Fintech • Banking • eCommerce

Airtm is the most connected digital dollar wallet in the world and a strategic partner for digital entrepreneurs. It works to ensure financial growth by enabling users to earn, send, spend, and protect their money anywhere and anytime. The company's purpose is to unleash the potential of digital entrepreneurs by connecting their talent with the global market, eliminating borders, and ensuring their financial freedom quickly and with fair fees.

📋 Description

• Design and deploy AI agent workflows to automate recurring analytical tasks, data summarization, and insight generation pipelines • Evaluate and integrate LLM-based tools into the data team's workflow, assessing reliability, accuracy, and fitness for analytical use cases • Collaborate with product and business teams to define analytical questions, success metrics, and KPIs • Build and maintain the analytics foundation using SQL and dbt for reliable reporting and self-serve analytics • Design, build, and perform weekly maintenance of Tableau dashboards, ensuring data accuracy and platform stability • Perform A/B testing and experimentation, including experiment design, statistical inference, significance testing, and result interpretation • Perform ad-hoc, exploratory, and statistical analyses to uncover insights and validate hypotheses • Communicate findings to technical and non-technical stakeholders, translating data into actionable recommendations • Partner with stakeholders to design, develop, and iterate on key metrics, interactive dashboards, and data analyses

🎯 Requirements

• 5+ years of experience in similar roles • Hands-on experience with AI agent frameworks (e.g., LangChain, LlamaIndex, CrewAI, or similar) and ability to build and deploy agentic systems in a production or near-production context • Proven experience with prompt engineering and evaluating LLM outputs for data-related tasks such as automated reporting, anomaly narration, or natural language querying • Experience orchestrating multi-step AI pipelines combining LLMs with structured data sources, APIs, or internal tooling • Strong SQL and Python skills for data analysis and modeling • Experience with dbt for analytics engineering workflows • Experience building dashboards in Tableau • Solid foundation in statistics, experimentation, and hypothesis testing • Ability to work cross-functionally and communicate insights effectively • Exposure to AWS for data storage or analytics workloads • Knowledge of feature engineering and model evaluation concepts • Experience with Git