Senior Data Scientist — End-to-End AI/ML Solution Architect

Solvd, Inc.; Argentina; Presencial; ARS 119 549 299 - 179 323 948; Tempo integral

Resumo da oferta

Solvd, Inc. in Argentina is seeking a Data Scientist to drive end-to-end data science projects, focusing on tabular and time-series data, from data exploration through deployment and performance tracking.

You will collaborate with business stakeholders, present findings clearly, and mentor analytics teammates while engaging with international clients. Proficiency in Python and ML libraries is essential, and fluent English is required.

Qualificações

• Proven experience delivering end-to-end data science projects.
• Strong skills with tabular and time-series data, including EDA, feature engineering, modeling, evaluation.
• Proficiency in Python and common data-science libraries.
• Experience mentoring analytics teams and coordinating with business stakeholders.
• Excellent communication skills to translate technical concepts for non-technical audiences.
• Fluency in English for meetings with international clients.

Responsabilidades

• Deliver end-to-end data science projects from data exploration to deployment and monitoring.
• Collaborate with business stakeholders to identify opportunities and translate them into measurable data-driven solutions.
• Present complex analytical findings in a clear, actionable way to technical and non-technical audiences.
• Contribute to analytical planning and ensure alignment with business objectives.
• Support presales activities by preparing data/ML concepts and estimating project scope/value.
• Help shape the Data Science practice and support recruitment initiatives.

Conhecimentos

Data science

Python

Feature engineering

Model deployment

Time-series

Leadership

English fluency

Ferramentas

TensorFlow

PyTorch

scikit-learn

Pandas

Descrição da oferta de emprego

Solvd, Inc. in Argentina is seeking a Data Scientist to drive end-to-end data science projects, focusing on tabular and time-series data, from data exploration through deployment and performance tracking.

You will collaborate with business stakeholders, present findings clearly, and mentor analytics teammates while engaging with international clients. Proficiency in Python and ML libraries is essential, and fluent English is required.