AI Data Scientist

Job not on LinkedIn

🔥 0 minutes ago

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Airtm

WebsiteLinkedInAll Job Openings

51 - 200 employees

Somos la billetera en dólares digitales más conectada del mundo y el socio estratégico de los emprendedores digitales. Trabajamos para asegurar su crecimiento financiero permitiéndoles ganar, enviar, gastar y proteger su dinero, en cualquier lugar y en cualquier momento.Nuestro propósito es liberar el potencial de los emprendedores digitales, conectando su talento con el mercado global, eliminando las fronteras y asegurando su libertad financiera de manera rápida y con comisiones justas.

📋 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 their 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 analytics foundation using SQL and dbt, enabling reliable reporting and self-serve analytics. • Design, build, and maintain Tableau dashboards that bring metrics to life and support day-to-day decision-making. • 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 clearly to both technical and non-technical stakeholders, translating data into actionable recommendations. • Partner with stakeholders to iterate on metrics, dashboards, and analyses as business needs evolve.

🎯 Requirements

• 2 to 5 Years of experience in Similar roles • Hands-on experience with AI agent frameworks (e.g., LangChain, LlamaIndex, CrewAI, or similar) and demonstrated 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 that combine 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 (or similar BI tools). • Solid foundation in statistics, experimentation, and hypothesis testing. • Ability to work cross-functionally and communicate insights effectively.

🏖️ Benefits

• Professional development • Flexible work arrangements