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Senior Data Scientist

Detalhes da Vaga

Location: São Paulo / Florianópolis

Business Type: Small or Medium Business

Contract Type: PJ CLT

Work Mode: Remote

Level: Senior

Required Training: Python, Machine Learning

Company Description

Technology consultancy
Job Description

Main Responsibilities:
Identify data collection sources for problems.
Process, treat and integrate data for the necessary analyses.
Perform exploratory analysis of data aiming at organization, summarization, and visualization to obtain insights.
Generate and validate hypotheses with the business and product areas.
Create libraries and documentation of analyses and models.
Create metrics to assess the quality of data and models.
Create end-to-end execution scripts related to data science activities.
Use data science techniques and tools to optimize processes.
Train and evaluate model convergence.
Mandatory Requirements:
Research experience at the master's level in Physics, Mathematics, Engineering, Statistics, Computer Science or related areas.
Exceptional curriculum (e.g., scientific initiation, project portfolio, awards in competitions, etc.)
will also be considered.
Fluency in Python (Jupyter, NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, etc.).
Knowledge and experience in Machine Learning and Data Science methods, including supervised learning (regression and classification), unsupervised learning (clustering, dimensional reduction), and specific learning algorithms (Boosting, Random Forest, KNN, Neural Networks, etc.
), along with knowledge of model performance metrics (Precision, Recall, ROC, F1, Accuracy, Gini, KS, etc.).
Advanced English - mandatory.
Desirable Requirements:
PhD.
Experience with image processing and remote sensing.
Academic or professional experience in Agribusiness.
Professional experience with predictive modeling of at least 1 year.
Experience with software engineering and Machine Learning engineering.
Knowledge of Cloud environments (preferably AWS).

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Salário Nominal: A acordar

Fonte: Appcast_Ppc

Função de trabalho:

Requisitos

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