Staff Data Scientist: End-to-End ML for ROAS (Remote)

Launch Potato; La Plata; Presencial; ARS 133.960.466 - 223.267.444; Jornada completa

Descripción de la vacante

Launch Potato is seeking a senior data scientist to own the full data science engine for a priority vertical, from business problem to deployed model and live ROAS performance. You will work hands-on with data, frame problems with stakeholders, build and validate models, and coordinate with ML engineering for production.

The role emphasizes ROAS impact, revenue growth, and media efficiency, with scope expanding across verticals and a remote-first global team.

Formación

• Must have 5+ years in a hands-on data science role delivering measurable business impact.
• Experience building and deploying ML solutions in AWS cloud.
• Strong modeling fundamentals for business impact.
• Expert Python and SQL.
• Ability to own problem framing, modeling, deployment, and monitoring.

Responsabilidades

• Own the full data science engine for a priority vertical from problem to deployed model and live ROAS performance.
• Collaborate with stakeholders, frame business problems, build and validate models, and hand off ML engineering for production.
• Drive ROAS, revenue, and media efficiency through data-driven models.
• Develop and refine Insurance vertical modeling end-to-end with measurable impact.
• Identify new modeling opportunities and partner with vertical stakeholders.

Descripción del empleo

Launch Potato is seeking a senior data scientist to own the full data science engine for a priority vertical, from business problem to deployed model and live ROAS performance. You will work hands-on with data, frame problems with stakeholders, build and validate models, and coordinate with ML engineering for production.

The role emphasizes ROAS impact, revenue growth, and media efficiency, with scope expanding across verticals and a remote-first global team.