Vaga de parceiro

Senior Data Scientist - Juiz de Fora / MG

Disponível para Assinantes
Salvar nos Favoritos
  • Compartilhe:

Detalhes da Vaga

  • Escolaridade Não Informado
  • Segmento Não Informado
  • Salário Não Informado
  • Área de AtuaçãoDiversos / Outros

O que você irá fazer

  • In this position, you will work with multiple data sources (usually textual, numerical and time-related data), huge and small datasets to develop, validate and deploy machine learning models, tune their performance & integrate them into data processing pipelines.
  • Responsibilities : Deal with both structured and unstructured data, collaborate with data engineers on defining data storage formats, state data collection requirements; Not only solve technical tasks but understand business needs and offer appropriate solutions, describe a chosen approach to non-technical people; Set up reproducible experiments : selection, training, validation and optimization of machine learning models, evaluation of their quality in business-related terms; Integrate data preprocessing and model inference into general data processing pipelines; Research new tools, papers, etc.
  • in the machine learning area.
  • Requirements : Strong knowledge and deep understanding of lassical machine learning (linear models, decision trees, ensembles for classification and regression tasks, clustering and dimensionality reduction) Main concepts and stages of the modelling process (validation scheme, regularization, overfitting and generalization, data leaks, feature selection, etc.
  • ) Experience with Python scientific, visualization and ML-related libraries (numpy, scipy, scikit-learn, etc.
  • ) Experience with different clustering techniques Experience with classic NLP tools and techniques (nltk, spacy, n-grams, skip-grams, TF-IDF, tokenizers, lemmatization, dependencies parsing, etc.
  • ) Experience with NN frameworks, NLP-related architectures and libraries (Pytorch / Tensorflow, HuggingFace, fasttext, flair, sentence transformersWord2Vec, ElMo, RNN, CNN, Transformer, BERT, etc.

Informações Adicionais

  • Quantidade de Vagas 1
  • Jornada Não Informado
 

Envie esta vaga para um amigo!

 

Cadastro Inicial

Preencha os campos abaixo
  • Ao criar uma conta, você aceita nossa Política de Privacidade e nosso Termo de Adesão
 

Acesse sua Conta

Preencha os campos abaixo

ou acesse com seu provedor
 

Recuperação de Dados de Acesso

Informe seu e-mail cadastrado