As a Data Scientist at Polco, you'll synthesize advanced insights for local governments, focusing on descriptive, predictive, and causal analytics to impact over 36 million Americans.
Data Scientist
🕒 24 days ago
Data ScienceStatistical ModelingMachine LearningPython
📜 Description
- Analyze and process large volumes of structured and unstructured data to identify patterns and opportunities for business improvement.
- Design, develop, and validate statistical and machine learning models to solve operational problems and generate measurable value.
- Implement and maintain reproducible and scalable data pipelines using Kedro, ensuring traceability and quality at each workflow stage.
- Build and evaluate time series models for forecasting and anomaly detection, selecting the most suitable methodology based on the problem context.
- Generate clear visualizations and communicate findings to both technical and non-technical stakeholders to support data-driven decision-making.
- Collaborate with engineering and business teams to define success metrics, validation criteria, and model deployment strategies.
🛠️ Requirements
- Minimum 3 years of experience in Data Science roles, with involvement in model implementation in production environments.
- Proficiency in Python for data analysis, statistical modeling, and machine learning solutions, including scikit-learn and XGBoost.
- Experience in time series modeling (ARIMA, Prophet, ML-based models) applied to real business contexts.
- Knowledge in structuring data projects with Kedro and using analysis and visualization libraries like SciPy, Seaborn, and Matplotlib.
- Ability to rigorously evaluate, compare, and document models using appropriate metrics based on the problem type (classification, regression, forecasting).
- Familiarity with version control using Git and best software development practices applied to data science projects.
Full job description
Buscamos un Data Scientist con sólida experiencia en modelamiento estadístico y Machine Learning para integrarse a proyectos de implementación de alto impacto. La persona en este rol será responsable de transformar grandes volúmenes de datos en soluciones predictivas y accionables que resuelvan problemas concretos de negocio. Si tienes pasión por construir modelos robustos y trabajar con pipelines de datos bien estructurados, este es tu lugar.
Responsabilidades principales
Analizar y procesar grandes volúmenes de datos estructurados y no estructurados para identificar patrones, tendencias y oportunidades de mejora en procesos de negocio.
Diseñar, desarrollar y validar modelos estadísticos y de Machine Learning orientados a resolver problemas operacionales y generar valor medible para la organización.
Implementar y mantener pipelines de datos reproducibles y escalables utilizando Kedro, asegurando trazabilidad y calidad en cada etapa del flujo de trabajo.
Construir y evaluar modelos de series de tiempo para pronóstico y detección de anomalías, seleccionando la metodología más adecuada según el contexto del problema.
Generar visualizaciones claras y comunicar hallazgos a stakeholders técnicos y no técnicos, apoyando la toma de decisiones basada en datos.
Colaborar con equipos de ingeniería y negocio en la definición de métricas de éxito, criterios de validación y estrategias de despliegue de modelos en producción.
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